Aufgaben: The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application. A focus is currently towards more robust AI models for applied image computing, for example by employing domain adaptation, joint embedding architectures, or similar techniques
Anforderungen: At least a Master’s degree in computer science or related discipline; Strong background in software development in relevant languages (Python, MATLAB); Interest in applied machine learning, including but not limited to deep learning; Interest in image analysis/computer vision and pattern recognition, including but not limited to biomedical applications, in particular for neuroscience; Experience with recent deep learning frameworks (e.g. Pytorch, MONAI)

Aufgaben: Propose and develop models and algorithms (Computer Vision, Machine Learning, Robotics, etc.) to meet the projects demands; Providing support in setting up and running experiments in the SnT Computer Vision and Zero-G laboratories; Work closely with project’s stakeholders and industrial partners; Proposing and implementing real-time solutions; Participating in proposal writing; Coordinating research projects and delivering outputs; Disseminating results through scientific publications
Anforderungen: PhD Degree in Computer Science, or related technical field with the desirable experience in Computer Vision, Machine Learning or Robotics; Competitive research record in Computer Vision/Robotics, preferably with publications at CV/ML/Robotics conferences/journals (e.g., ICRA, RSS, WACV, ECCV, IROS, etc.); Strong mathematical background; Strong development skills in Python/C++/Matlab; Strong knowledge and experience with modern machine learning frameworks (PyTorch/Tensorflow); Good Knowledge of Robotics. Practical experience in robotics, including ROS and related software components; Experience with 3D simulation tools or game engines such as Unreal, Blender, etc. would be an added advantage

Aufgaben: Conduct cutting-edge research in computational science with a focus on developing methodology and high-performance algorithms in physical sciences and/or engineering; Develop and implement novel algorithms and computational models to address complex scientific problems; Provide high-level support to internal and external partners; Assisting the setup of the teaching framework on HPC skills; Collaborate with the Technology Transfer Office on the skills and technology access framework; Participate in the research, education and training activities across faculties and interdisciplinary centers
Anforderungen: PhD degree Computational Science, Computer Science, Physics, Mathematics, or a related field; Proven track record of impactful research in computational science, demonstrated through publications in reputable scientific journals and conferences; Proficiency in programming languages commonly used in computational science, such as Python, C++, or Fortran; Previous involvement in interdisciplinary research projects; Experience with high-performance computing (HPC) systems and parallel programming; Experience with industry is a plus; Over 5 years of experience

Aufgaben: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Anforderungen: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Pensum: 100%
Aufgaben: Betreuung von Schlüsselkunden; Verantwortungsvolle Mitarbeit bei Zertifizierungs-Mandaten, teilweise Koordination von internen Teams; Erarbeiten eines Verständnisses des Marktes und der Mitwirkenden in CH und EU; Fachliche Mitarbeit auf Zertifizierungs-Mandaten; Unterstützung bei der Aufrechterhaltung und Erweiterung der Akkreditierung; Weiterentwicklung des Service Offerings, Teilverantwortung über Zertifizierungscluster
Anforderungen: Erfolgreich abgeschlossenes Studium in Information Technology bzw. Computer Science, oder naturwissenschaftliches Studium; Mindestens 2-3 Jahre Berufserfahrung im Bereich IT Governance, Compliance, IT Audit oder Zertifizierung (in Funktion des Zertifizierers oder Zertifizierten); Schnelle Auffassungsgabe für komplexe Zusammenhänge; Kenntnisse und von Vorteil Berufserfahrung im Bereich Software-Konzepte sowie dazugehörigen Prozessabläufe, Kenntnisse von Sicherheitseinstellungen von Betriebssystemen, Datenbanken und Netzwerk Architekturen; Kommunikative Persönlichkeit sowie fliessende Deutsch- und gute Englischkenntnisse; Exakte und selbständige Arbeitsweise; Wissensdurst, Verantwortungsbewusstsein, Belastbarkeit und ein hoher Grad an Flexibilität

Pensum: 100%
Aufgaben: Conduct valuations (e.g., companies, intangible assets) and financial analyses, market research, capital market and cost of capital analyses; Develop complex, integrated financial models; Participate in engagements such as fairness opinions, pricing analysis for M&A transactions, valuations for accounting and tax planning purposes, or arbitrations; Value complex financial instruments (e.g. options, derivatives, complex debt instruments, structured products); Work together with large international corporations as well as mid-market firms, often in an international environment; Actively interact with clients and cooperate closely with other KPMG experts, like our due diligence or restructuring team or with our accounting, tax and legal experts; Assist in proposal work and marketing initiatives
Anforderungen: Master's degree with a major in Finance or Accounting; First professional experience in corporate finance within an international environment is a plus; Proficiency with MS Excel is a prerequisite, proficiency with Tableau, Alteryx or Python coding is a plus; Strong analytical and modelling skills, sound knowledge of financial analysis and traditional valuation methods (e.g., DCF, multiples) and attention to detail; Knowledge of security valuation methods (e.g., options, derivatives), as well as modelling techniques such as Monte-Carlo simulations or lattice models, is a plus; Entrepreneurial mindset and ability to set priorities in a complex and demanding environment; Excellent written and verbal communication skills in German and English; knowledge of any other language is a plus

Aufgaben: The Medical University of Innsbruck stands for outstanding performance in the fields of science, research, teaching and patient care. Together with the university hospital, it is our vision to be the leading centre of medicine in Western Austria. We employ highly qualified teachers to provide our students with the best possible training. The research results of scientists at the Medical University of Innsbruck are published to international acclaim. We aim to further expand our science campus, focus on innovative research in the fields of oncology, neurosciences, immunology and infectiology and further promote scientific exchange between other leading universities in Europe
Anforderungen: We crawl all higher jobs in research, teaching and administration at Medical University of Innsbruck automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: Für die Menschen in und um Zürich stellen wir eine umfassende Grund- und Notfallversorgung sicher. Zudem bieten wir hochspezialisierte Untersuchungen und Behandlungen auch für Patientinnen und Patienten von ausserhalb des Kantons Zürich an. Das Wohlergehen der uns anvertrauten Menschen ist unser oberstes Ziel. Als Zentrumsspital mit überregionaler Bedeutung sind wir an unseren beiden Standorten Waid und Triemli für alle Menschen da: aus der Stadt Zürich, aus dem Kanton Zürich und im Bereich der hochspezialisierten Medizin auch für Patientinnen und Patienten aus der ganzen Schweiz
Anforderungen: We crawl all higher jobs in research, teaching and administration at Stadtspital Zürich automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: The Technical University of Denmark (DTU) invites applicants for a postdoctoral researcher. The position is offered at DTU, in the Department of Computer Science and Applied Mathematics, at the Visual Computing Group, and will work closely with researchers from the Royal Danish Academy. The position is part of the research project Matters which is funded by a Villum Synergy grant. Matters is focused on material and computational design for analyzing, characterizing and developing novel wood composite structures
Anforderungen: As a formal qualification, candidates must hold a PhD degree at the starting time of the PostDoc. Candidates should have a strong publication record in top tier venues in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICLR, ICML)

Pensum: 60-100%
Aufgaben: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Anforderungen: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Aufgaben: Directs one or more projects including multiple clinical trials, observational studies, or real world data (RWD) investigations. Also includes presentation to the Peer Protocol Review Committee (PPRC) or other internal senior review boards; Manage a team of direct reports including their performance and development. Mentors project team members and promotes effective team operation and cross-functional collaboration; Possesses an expert understanding of modern drug discovery and development processes; Represents Biostatistics as a member of cross functional teams, providing strategic input and expert technical guidance to elicit meaningful and/or productive outcomes. Sets the technical and scientific directions of the project(s)
Anforderungen: Ph. D. or master's degree in Statistics or Biostatistics; Typically requires 10 years of experience with a Ph.D. or 13 years of experience with a master's degree, or the equivalent combination of education and experience

Aufgaben: As a member of the cancer center, the faculty member will undertake cancer research activities that are aligned with MCC vision and mission: to improve the lives of all Virginians by delivering cutting-edge cancer care through patient-centered prevention and treatment; high-impact, innovative research; community input and engagement; and education and training of the next generation of researchers and healthcare professionals. The vision of Massey is to be a premier community-focused cancer center leading the nation in cancer health equity and ensuring optimal health outcomes for all
Anforderungen: Ph.D in Bioinformatics, Computational Biology or a closely related field; 8 or more years of research experience in the fields of bioinformatics, computational biology, systems biology, proteomics, and/or genomics; A deep understanding of Ras signal transduction pathways with experience in investigating the mechanism of KRAS addiction of cancer cells; Extensive publication record

Pensum: 100%
Aufgaben: Betreuung von Schlüsselkunden; Verantwortungsvolle Mitarbeit bei Zertifizierungs-Mandaten, teilweise Koordination von internen Teams; Erarbeiten eines Verständnisses des Marktes und der Mitwirkenden in CH und EU; Fachliche Mitarbeit auf Zertifizierungs-Mandaten; Unterstützung bei der Aufrechterhaltung und Erweiterung der Akkreditierung; Weiterentwicklung des Service Offerings, Teilverantwortung über Zertifizierungscluster
Anforderungen: Erfolgreich abgeschlossenes Studium in Information Technology bzw. Computer Science, oder naturwissenschaftliches Studium; Mindestens 2-3 Jahre Berufserfahrung im Bereich IT Governance, Compliance, IT Audit oder Zertifizierung (in Funktion des Zertifizierers oder Zertifizierten); Schnelle Auffassungsgabe für komplexe Zusammenhänge; Kenntnisse und von Vorteil Berufserfahrung im Bereich Software-Konzepte sowie dazugehörigen Prozessabläufe, Kenntnisse von Sicherheitseinstellungen von Betriebssystemen, Datenbanken und Netzwerk Architekturen; Kommunikative Persönlichkeit sowie fliessende Deutsch- und gute Englischkenntnisse; Exakte und selbständige Arbeitsweise; Wissensdurst, Verantwortungsbewusstsein, Belastbarkeit und ein hoher Grad an Flexibilität

Aufgaben: Ongoing management of participating business in accordance with various scheme documents where applicable, and in compliance with applicable Participating Insurance Policy, Operating Guidelines, as well as local regulations; Regular determination of asset shares and policy illustration for inforce participating business; Lead the implementation and change management in response to the regulatory changes on participating fund management and RBC regime; Engage in the consultation process of regulatory changes on behalf of the Company
Anforderungen: Qualified actuary FSA, FCIA, FIA, FIAA or equivalent; At least 12 years of working experience in the life insurance sector; Relevant experience in participating fund management, product management and regulatory reporting; Technically solid with relevant experience in participating fund management, product management and regulatory reporting

Aufgaben: Lead internal and external efforts to understand the pathogenesis of cardiovascular and metabolic disease (obesity, heart failure, atherosclerosis and vascular biology, chronic kidney disease and others) at a cellular and tissue level; Provide actionable biological insights and build scientific understanding of specific drug targets and biological pathways within the context of cardiovascular and metabolic diseases through the implementation and application of tools and methods to analyze omic/multi-omic data (including but not limited to scRNAseq, sc-multimomics, spatial transcriptomics, bulk RNAseq, epigenetics, and proteomics)
Anforderungen: Ph.D. in Biological Sciences, Molecular Biology, Biochemistry, Computational Biology, or related field required; 5+ years relevant experience applying quantitative approaches to generate and address biological questions, preferably in a pharmaceutical, biotech or comparable context; 3+ year’s experience in research of cardiovascular and metabolic diseases preferred, including but not limited to obesity, heart failure, atherosclerosis and vascular biology, chronic kidney disease

Aufgaben: Konzeption, Umsetzung und Ownership von Data Science Projekten insbesondere in Themenbereichen des E-Commerce, Logistik und Pricing; Bearbeitung von Aufgaben aus dem kompletten Data-Science-Lifecycle: Von Proof of Concept, über Minimal Viable Product bis hin Deployment in Produktionsumgebungen; Interpretation, Visualisierung und Aufbereitung von Ergebnissen und Lösungen für verschiedene Stakeholder; Zusammenarbeit und Beratung mit Fachabteilung in der Identifikation, Formulierung und Zielsetzung von Data Science Projekten
Anforderungen: Erfolgreich abgeschlossenes Studium der Mathematik, der Statistik, der (Wirtschafts-)Informatik, Naturwissenschaften oder eines vergleichbaren Studiengänge; Programmkenntnisse: Python oder eine vergleichbare Programmiersprache; Grundlegende Kenntnisse in SQL; Erfahrungen in der Implementierung und Anwendung von gängigen statistischen Modellen und Machine-Learning-Algorithmen; Gute Deutschkenntnisse in Wort und Schrift (mindestens C1 Niveau)

Aufgaben: We are hiring an Applied Bioinformatics Research Scientist to identify metabolic vulnerabilities in lung cancer for therapeutic targeting. Lung Cancer is the most common cause of cancer deaths worldwide. Tyrosine kinase inhibitors and immunotherapy have been shown to be effective in a subset of patients; however, the overall survival rate for this disease remains low, especially for metastatic disease. Moreover, small cell lung cancer (SCLC) patients have a poor prognosis, and there especially exists a gap in knowledge in understanding SCLC and identifying effective therapeutic strategies. The goal of our research team is to understand the underlying biology of key drivers in lung cancer by identifying metabolic vulnerabilities that can ultimately be used as single agents or combined with immunotherapy to target lung cancer therapeutically. Join our team of researchers who are funded through a P01 Program Project Grant!
Anforderungen: PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields; Experience working with at least one “omics” type (e.g., DNA-seq, RNA-seq, metabolomics, proteomics); Preference will be given to candidates with experience in integration of multi-omics data

Aufgaben: The successful applicant will have the opportunity to develop novel algorithmic architecture to leverage large-scale experimental genomics datasets to build artificial intelligence with a fundamental understanding of biological systems. The postdoctoral fellow will have access to large-scale experimental data and state-of-the-art computational infrastructure to accomplish their research goals and will work in highly collaborative environment with computational and experimental biologists, synergizing the strengths of both domains to advance discoveries in network inference algorithms and the mechanisms of gene regulation
Anforderungen: PhD in a computational field with experience in deep learning and/or network inference methods; Advanced competency in Python and Bash, or equivalent; Experience with PyTorch or equivalent and interfacing with GPU hardware would be beneficial

Aufgaben: Applying and developing digital pathology methods to extract disease biology insights and support innovative clinical development and research programs; Actively and collaboratively promoting scientific and technical innovation with other members of the department, including subject matter experts in disease biology, companion diagnostics, and data science; Directing and supporting publications in high quality scientific, technical, or medical journals; Representing the department through interactions with computational, biological and translational research collaborators
Anforderungen: PhD degree in a relevant field (e.g. computer science, computational biology, bioinformatics, molecular biology, cancer biology); Minimum of 3 years post-PhD experience, with demonstrated scientific contribution in digital pathology in academia and/or industry; Fluency with Python and statistical data analysis using modern frameworks (e.g. R, NumPy)

Aufgaben: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products; Support the bioinformatics function within a product development team; Contribute to the design and development of a standardized automated testing infrastructure; Analyze, integrate, model and interpret experimental data; Develop, document, and maintain reusable programming code; Communicate and collaborate in cross-functional multi-site teams
Anforderungen: Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent; Strong programming skills and experience with at least one programming languages, such as Python, R, etc; Experience with data analysis and visualization of next-generation sequencing data and large datasets; Familiarity with common bioinformatics pipelines and data formats; Solid understanding of statistical and biological concepts

Aufgaben: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data
Anforderungen: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; 3 Years of experience

Aufgaben: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines; Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM, specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE); Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision; Analyze information and develop innovative solutions to programming and data analysis challenges
Anforderungen: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with at least 3 years of clinical programming experience; Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus; Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members; Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world; In-depth knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology

Aufgaben: The Centre for Alcohol and Drug Research is looking for a candidate with an interest in and experience with the processing of statistics and data in a social science context. At the Centre for Alcohol and Drug Research (CRF), Department of Psychology, Aarhus University, a 4-year position as Assistant Professor is available to be filled from 15 August 2024 or as soon as possible thereafter
Anforderungen: We are looking for candidates who are expected to have in-depth knowledge and experience with statistics and who wish to engage in interdisciplinary collaboration with the centre's other employees. You are expected to master power analyses, state-of-the-art analyses of data from longitudinal studies (e.g. RCT studies), including prediction studies and state-of-the-art analyses of cross-sectional data. The Assistant Professor's tasks are equally divided between assisting/advising the centre's other employees in relation to advanced statistical analyses and your own research projects, preferably methodological research projects

Aufgaben: Undertake design and analysis of complex studies and provide statistical support, making contributions to clinical development plans. Utilize adaptive design and Bayesian methods, including trial simulation, to innovate and improve study design. Execute strategic, statistical thinking and guide the direction to improve the statistical methodology, processes, and delivery activities of study design. Responsible for analyzing, interpreting, summarizing, and presenting results of clinical trials. Develop design options and provide quantitative decision support and will oversee internal and external statisticians in the delivery of analysis and reporting on our clinical program designs
Anforderungen: Must possess a Master’s or foreign equivalent, in Statistics, Mathematics, or a related field, and five (5) years of experience in the job offered, as a Statistician, or in a related occupation. Must possess five (5) years of experience all of the following: Designing Phase III Oncology clinical trials including adaptive designs or through Bayesian methods; R, R-shiny and SAS programming; Conducting simulations; Performing biomarker analyses; Developing and submitting sNDA and NDA; Developing scientific publications of clinical oncology trials

Aufgaben: Responsible for protocol development including study design, sample size calculation, randomization, and statistical analysis plan for assigned studies; Provide statistical oversight to studies and assure adequate quality and consistency with project requirements; Responsible for assuring that data for statistical analyses are complete, accurate and consistent; Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions; Responsible for validity of analysis and explore alternative analysis strategies as needed
Anforderungen: MS or PhD in Statistics, Biostatistics or related field. PhD with 3-5 years of experience or MS with 6-8 years of experience; Strong oral and written communications skills, with ability to effectively communicate internally and with clients; Demonstrated understanding and insight in statistics, drug development process and relevant FDA regulations; Pharmaceutical, CRO, or related industry experience with clinical trials, including interaction with Regulatory Agencies, especially FDA