Duties: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Duties: Space weather, similar to weather on Earth, has a significant effect on infrastructure in space and on Earth. For example, solar storms may obstruct radio communication on Earth and space. Severe space weather events may even lead to failures of the electric grid, causing significant economic damage and posing a threat to societal stability. As weather forecasts on Earth, space weather forecasts may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance
Requirements: A MSc. degree or equivalent in Computer Science. You should have some knowledge and experience in some of the following topics: Space weather models and tools; Machine learning, in particular, time series forecasting; Excellent programming skills

Duties: Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension to 5 and more years. Involvement in immunology projects with single-cell transcriptomic data analysis
Requirements: You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology; Experience with the analysis of mRNA transcriptomic data sets, in particular with single-cell RNA-seq data analysis pipelines (Seurat, Scanpy); You are a highly motivated scientist with the drive to develop further; Experience in immunology is a plus

Duties: The Li Group is looking for a postdoctoral research fellow for projects on battery materials/devices or strongly correlated materials
Requirements: Ph.DRecent Ph.D. and postdocs with a background in materials science, physics, applied physics, chemistry, or a related field are encouraged to apply

Duties: Designs and performs experimental studies that directly answer the above research questions, using both in vitro systems and animal models; Collects and analyzes data and presenting at national/international meetings; Prepares manuscripts for publication; Applies for external fellowships; Mentors junior lab members; Establishes new research protocols and procedure; Summarizes research findings and publish results in research journals; Maintains laboratory operations; Supervises research staff
Requirements: PhD or MD with previous training in biochemistry or cell biology and possess exceptional computational skills. The most advanced degree must have been conferred within the last 3 years; Experience with large-scale genomic datasets; Prior experience with brain development, and/or cancer cell biology would be an asset; Prior first author publications are highly desirable

Duties: Aufbau und Betrieb einer anspruchsvollen Bioinformatik-Infrastruktur zur Daten-Prozessierung im Bereich der molekulargenetischen Diagnostik (Panels, WES, WGS, RNASeq, Datenbanken) unter Berücksichtigung gängiger QS-Richtlinien; Entwicklung von Auswerte-Algorithmen (Skripting) zur effizienten Varianten-Interpretation (Scoring Systeme, Metascores); Anwendung statistischer Verfahren (Data Mining, Advanced Analytics) zur Entwicklung ausführbarer Modelle; Design von Datenmodellen, Entwurf automatisierter Ladeprozesse zur Normierung, Datenintegration und Verknüpfung von NGS-Daten, Labordaten, Kommentierungen und weiterer Knowledge-Metadaten
Requirements: Erfolgreicher Hochschulabschluss (Master/Diplom o. Ä.) im Bereich Informatik/Bioinformatik, evtl. Promotion mit relevanter Thematik; Sie arbeiten gerne in einem interdisziplinären Team und haben Interesse an innovativen Fragestellungen und Methoden; Mehrjährige Berufserfahrung im o. g. Aufgabenbereich inkl. Prozessierung grosser NGS-Datenmengen (WES, WGS, RNASeq); Mehrjährige Praxiserfahrung im Design von Datenbankmodellen, Erstellung und Abfrage relationaler Datenstrukturen mit SQL; Möglichst praktische Erfahrung mit Standard Tools für Data Pipelining/ETL und Data Mining

Duties: We seek a highly motivated research scientist or postdoctoral researcher to develop environmental perception techniques and implement them for robot applications. We mainly focus on multi-modal signal processing and pattern recognition; especially, fine-grained understanding of the surrounding environment (3D object recognition, utilization of scene graphs, etc.) using video and LiDAR data, necessary for controlling autonomous mobile and interactive robots, and on robot implementation of these recognition technologies
Requirements: must have a Ph.D. or is expected to receive a Ph.D. in computer vision, pattern recognition, machine learning, multimedia processing, or a related field before the date of employment; must be proactive, cooperative, flexible, and able to respond according to the circumstances; must also have good communication skills and cooperate with the relevant personnel within/outside of the laboratory to fulfill the tasks

Duties: Contribute to the design and analysis of engineered mammalian cell lines; Work closely with bench scientists by guiding experimental workflows and quantitative measurements to ensure statistical rigor; Regularly dive deep into the multiomics stack, innovate on analysis techniques, and present findings to our organization, leadership, and partners; Explore novel genomics and machine learning algorithms
Requirements: You are a highly skilled technical leader in computational biology interested in engineering biology, and with years of experience in an industry or research position; You embrace ambiguity and always drive for impact. In addition, you have extensive experience with software scripting (e.g., Python and R), bioinformatic toolsets, high-performance and cloud computing, a strong foundation in statistics and statistical design of experiments, a collaborative mindset, and a passion for continuous learning

Duties: 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
Requirements: 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)

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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"

Duties: 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
Requirements: 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"

Duties: 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
Requirements: 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)

Duties: 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
Requirements: 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

Duties: 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)
Requirements: 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

Duties: 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!
Requirements: 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

Duties: The goal of this project is to build fragmented tectonic plate models for the margins of the northeastern North Atlantic and use them in deformable plate reconstructions. These models will better capture inherited structures and internal deformation - within and along each rift, margin segment and microcontinent - and will be used to generate more realistic crustal reconstructions that can be compared against present-day constraints
Requirements: Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level; The position requires a strong background and interest in Geology, Tectonics, Structural Geology, Seismic Interpretation (Petrel), Geophysical methods

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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)

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: Collaborate with leads from other disciplines (embedded software, microbiology, biomathematics, etc.) to provide outstanding application support (Troubleshooting, Issue Resolution, Account Management); Develop novel systems for medical device data analysis, including break/fix, change requests, etc; Install and configure legacy and pre-release instruments in R&D laboratories for data collection and analysis; Monitor/Report issues via ITIL/ITSM
Requirements: Bachelors degree in Computer Science, Engineering, Information Systems, Biology, Microbiology, Biomedical Engineer, Bioinformatics, Clinical Laboratory Science, or equivalent practical experience; 6+ years of experience ineither Software Development, IT Support/Networking, or Clinical Laboratory experience; Experience working through various phases of software development lifecycle, including some or all of the following: feasibility, development, software verification, systems verification, and/or software validation

Duties: Die Bandbreite der Projekte ist gross: Vom Aufbau neuer Geschäftsfelder über Risikomanagement bis hin zum Projektmanagement grosser IT-Projekte; Als Einsteiger arbeiten Sie von Beginn an in einem Projektteam mit erfahrenen Kollegen. Sie entwickeln Konzepte und Lösungen für komplexe Problemstellungen und wirken an deren Umsetzung mit; Sie erarbeiten bei unseren Kunden Lösungen für anspruchsvolle analytische Fragestellungen; meist mit betriebswirtschaftlichem, finanzmathematischem und/oder IT-Hintergrund
Requirements: Sehr gut abgeschlossenes Studium (Diplom, Master oder Promotion) in Physik, Mathematik, Informatik oder einem anderen naturwissenschaftlichen Studiengang; Klares analytisches Denkvermögen; Gute IT-Kenntnisse und Beherrschen einer Programmiersprache; Sehr gute Deutschkenntnisse (mindestens C1-Level)

Duties: Eigenständiges Erstellen von Untersuchungen unter der Führung eines Projektleiters: Planung von Angebotskonzepten, Erstellung von Kapazitätsanalysen und Betriebsstudien, Bewertung von Verkehrsprojekten; Anwendung der Planungs- und Simulationssoftware; Erstellung von Berichten und Präsentationen
Requirements: Hochschulabschluss in einer ingenieurwissenschaftlichen Disziplin; Erste Berufserfahrung; Kenntnisse der Eisenbahnbranche; Lösungsorientierte Persönlichkeit mit Freude an der Projektarbeit; Sehr gute Deutsch- und Englischkenntnisse, weitere Sprachen von Vorteil

Duties: Provide solutions to complex bioinformatics problems, requiring strong software engineering skills and background in highly scalable web based consumer applications development; Design and develop cutting edge web applications and user interfaces; Design and develop high performance components/sub-systems for highly scalable service-oriented software; Write well-documented, extensible software code that is easy to maintain, and that adheres to generally accept programming standards and OOP practices; Own the overall quality of your code including unit testing, functional testing and performance; Produce and maintain technical designs and documentation relevant to assigned software development tasks
Requirements: Bachelors in Computer Science required. Masters preferred; 3+ years of developing web applications; Experience building/using bioinformatics tools for NGS data required; Highly proficient in JAVA and strong understanding of multi-threaded programming; Excellent grasp of OOP concepts and design patterns