191 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" positions at Nature Careers in Germany
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The Faculty of Sciences at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for a Full Professor of Experimental Condensed Matter Physics (salary group W3
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We are seeking an experienced computational biologist or bioinformatician to support the development of next-generation RNA-based precision therapies. The work is part of a core project within
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Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
To strengthen our team in the division “eScience” in Berlin-Steglitz, starting 01.06.2026 we are looking for a Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science
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possible. Applicant Profile Applicants should have a university degree in physics, physical chemistry, or biophysics (or near completion). Experience with computational science, programming (C/C++ or Python
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To strengthen our team in the division “Acoustic and Electromagnetic Methods” in Berlin-Steglitz, starting 01.04.2026, we are looking for a PhD student (m/f/d) in the field of physics or engineering
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the pharmacological action of small molecules on ion channels using electrophysiology as well as Ca2+ and Vm fluorometry REQUIREMENTS: University degree in biology, biochemistry, pharmacy, physics, biomedicine or other
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institute at KIT (list of KIT institutes and Scientific Computing Center ). Please contact the head of the institute early in the process. Both thematic fits should be explicitly addressed in the proposal
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international collaboration partners Support and administer internal web and Linux servers Your Profile Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics
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for Tumor Diseases Heidelberg (Head: Dr. Priya Chudasama) is seeking for the next possible date a Scientist in Computational Biology Reference number: 2025-0298 We are seeking a computational biologist to
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor