82 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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state-of-the-art computational and high-throughput experimental validation methods in functional, de novo protein design. Over the next two years, the team will jointly develop computational methods
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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Job Id: 11716 Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics We are UKM. We have a clear social mission and, with our focus
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”) of the Director of the Fraunhofer Institute for Toxicology and Experimental Medicine ITEM With a position as University Professor (W3) in Toxicology and Experimental Medicine in a non-pay-scale employment
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Job Id: 11712 Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics We are UKM. We have a clear social mission and, with our focus
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly
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ideas from the lab to real-life applications, improving lives. Helmholtz Munich invites outstanding early-career researchers (f/m/x) to apply for the Health AI Fellows (HAIF) Program , a unique
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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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participants Apply advanced analytical methods for integrative multi-omics analyses Implement state-of-the-art statistical and computational techniques for disease prediction Leverage extensive, high-quality