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: 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
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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
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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)

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

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: 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: 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: Lead in research in the field of AI and its applications; Acquire in-depth expertise in the leadership of scientific research projects and experience of organizing interdisciplinary scholarly events; Collaborate with faculty and students on research topics of common interest; Teach one course or two as needed; Become an ambassador for the Center for Artificial Intelligence, for example through publications, outreach activities, and through presentations at workshops and conferences; Be productive in high-quality scholarly publications in reputable journals and conference proceedings
Anforderungen: A PhD degree in computer science, engineering, physics, data science, mathematics or a closely related field; A proven track record of carrying out cutting-edge research demonstrated by publications in top journals/conferences; A proven track record of funding acquisition through grants and/or contracts; Excellent written and verbal communication skills

Aufgaben: Integrate with the SIGCOM research group and contribute to the SIGCOM on-going research projects; Identify and shortlist potential applications from the 5G wireless domain (including non-terrestrial networks) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors; Design and develop the machine learning algorithms able to provide a good performance-complexity trade-off for the identified scenarios and use cases
Anforderungen: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on artificial intelligence; Experience with 5G communication systems; Experience with non-terrestrial networks (NTNs) is considered a plus but it is not required

Aufgaben: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis. A second area of our research is to examine therapeutic approaches that target vulnerabilities of cancer cells in mRNA processing and metabolism
Anforderungen: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply

Aufgaben: Apply principles and methods of bioinformatics to assist scientists, principal investigator and other laboratory team members. Discuss study design with research team, and apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information
Anforderungen: Bachelor of Science and 3-4 years of experience or equivalent combination of education and experience is required

Aufgaben: Configures, debugs and ensures stable operation of HPC cluster tools such as Bright Cluster Manager, OpenHPC, Warewulf; Configures, optimizes and ensures stable operation of software such as MATLAB and open source equivalents such as Octave and SciLab. In addition, ensures that any added module or toolbox needed for this software is working properly, including necessary licenses; Configures, optimizes and ensures stable operation and availability of Message Passing Interface (MPI) such as OpenMP libraries and utilities; Configures, optimizes and ensures stable operation and availability of the R statistical package and necessary extra modules needed by the HPC cluster users; Configures, optimizes and ensures stable operation of GPU related software and libraries such as CUDA and others; Configures, optimizes and ensures stable operation of specific software needed for mathematical oncology, bioinformatics, biostatistics and any other groups of research involved in the use of the HPC cl...
Anforderungen: Bachelor’s Degree in Computer Science, Information Technology, Management Information Systems, Biology/Chemistry/Physics or related field; Minimum of seven (7) years' experience designing, developing and successfully administering or supporting Unix- based systems

Aufgaben: The focus of the project is to develop quantum computing algorithms for quantum scattering in atomic and molecular systems that are expected in a fusion energy system, and demonstrate the schemes in current quantum computers. Candidates with background in (1) quantum scattering theory and computation, particularly in atomic and molecular physics, and quantum chemistry; and/or (2) quantum computing, are preferred. Fusion energy science background is desirable but not required. The selected candidates are expected to work with a team of fusion energy scientists, atomic physicists, and quantum computing scientists. The initial appointment is for two years, with a possible third year extension depending on performance and funding availability
Anforderungen: Completion of a Ph.D. in STEM field within the last five years or expected completion within the current academic year. Demonstrated expertise in one or more areas of quantum computing, atomic/molecular physics, quantum chemistry, and quantum scattering broadly defined

Aufgaben: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Anforderungen: Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science; A highly motivated and independent researcher with a strong quantitative scientific background; Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems; Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable; Excellent communication and writing skills; Experience of integration of multi-omics data such as WES, RNA-seq, metabolomics, proteomics, etc, is preferred

Aufgaben: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Anforderungen: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting; Software development experience in languages such as Python, Scala, Java; Familiarity with scripting and process automation

Aufgaben: Build user-friendly web applications using JavaScript with React and Node.js; Build fast, stable and efficient delivery pipelines; Update LIMS workflows to match the lab’s practices and data tracking needs; Use continuous delivery practices to deliver high-quality code; Clearly communicate project challenges and progress; Ensure code is readable, maintainable, and stable through implementation of unit and end-to-end tests; Follow programming best practices and work collaboratively in-person and through GitHub
Anforderungen: 3+ years of software development experience; Experience working with two or more development languages including (JavaScript, Java or Python); Experience with relational databases and/or non-relational databases (MySQL, MongoDB)

Aufgaben: Participate in project planning, recording, and evaluation of data; Conduct independent scholarly research, developing new methods and protocols under the guidance of a mentor (principal investigator); Acquire technical, lab management, and grant writing skills; Participate in seminars, lectures, poster sessions, national presentations, and professional workshops; Supervise junior lab members; Assist with other research projects as needed
Anforderungen: PhD in computer science, electronic engineering or a related field; Research experience in computer vision and machine learning; Proficiency in Python and/or MATLAB; C++ is a plus

Aufgaben: We are a Cooperative with our head office in Wettingen in Canton Aargau. Our team is made up of specialists from the field of natural sciences such as geology, physics, chemistry and biology, as well as from engineering. Communication experts and staff members dedicated to operational and administrative tasks complete our motivated team. Around 130 people are involved in the project of the century of deep geological disposal
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Aufgaben: We promote the competitive capacity of small and medium sized companies in Alpenrheintal (Alpine Rhine valley region). We achieve this through the targeted networking of business and research with the aim of making the business location of Alpenrheintal more attractive and as a result increasing opportunities for employment. We bundle the research capabilities of several research institutions. There is a vibrant informal and professional exchange of ideas and thoughts within the framework of this partnership, which benefits the entire network. The services we offer are completed with our own applied research capabilities
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Aufgaben: As one of only eleven Universities of Excellence in Germany, we are the only university with as many as six Clusters of Excellence. Recent decades have seen us produce more winners of the Nobel Prize and Fields Medal than any other German university. The University of Bonn has a 200-year history of combining excellent research in a range of disciplines with research-led teaching
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Aufgaben: The salary survey was carried out from April until the end of May 2022 for all members of the Swiss Actuarial Association (SAA). The salary survey was conducted online and was based on the salary and bonus information from 2021
Anforderungen: The main goal of this salary survey was to examine the salary development on the Swiss market for actuaries since 2015 and if there is a salary gender gap. The survey was coordinated by the SAA Women's Group with the support of the University of Lausanne

Aufgaben: Gesucht wird eine Persönlichkeit (m/w/d), die das vorhandene Forschungsprofil des Instituts für Mathematik im Bereich Algebra, Computeralgebra oder Zahlentheorie ergänzt und die Lehre für die Bachelor- und Master-Studiengänge sowie die Lehramtsstudiengänge in Mathematik sowie den Service der Mathematik für andere Studiengänge der JMU insbesondere in den zuvor genannten Bereichen unterstützt
Anforderungen: Einstellungsvoraussetzungen sind ein einschlägiges abgeschlossenes Hochschulstudium, pädagogische Eignung, besondere Befähigung zu wissenschaftlicher Arbeit, die in der Regel durch die Qualität einer Promotion nachgewiesen wird, sowie zusätzliche wissenschaftliche Leistungen