320 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "St" "St" Postdoctoral positions at Nature Careers
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with high productivity and the research group is inter-professional. The Perinatal laboratory and research group is led by Professor Bo Jacobsson. Our research group is located at the University
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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of Luxembourg is looking for a Postdoctoral researcher to conduct research in development economics. The postdoctoral researcher will be working under the supervision of Professors Luisito Bertinelli and Jean
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary research network a comprehensive mentoring program with supervision by a team of advisors top
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics
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The Center for Systems Biology Dresden (CSBD) is seeking applications for ELBE postdoctoral fellows The ELBE postdoctoral fellows program welcomes independent researchers on the postdoctoral level
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer