134 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at Nature Careers in Germany
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Area of research: Scientific / postdoctoral posts Job description: Staff Scientist (f/m/x) in Computational Biology 102868 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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-01-01), together with leading researchers across Europe. You will become part of a cohort of 13 PhD students jointly trained in modern biophysical techniques involving both computational and
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of chemistry with a focus on analytics / sensor technology, applied physics, or similar Salary group E13 TVöD Temporary contract until 31.07.2028 Full-time / suitable as part-time employment The Bundesanstalt
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The RoLi Lab at the Max Planck Institute develops cutting-edge optical tools to study and control brain activity at cellular resolution in freely moving animals. We combine neuroscience, engineering
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Computation (IMPRS-BAC) graduate program provides interdisciplinary training for doctoral candidates at the intersection of molecular life sciences and computational sciences. This program offers comprehensive
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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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Are you an early career researcher with a promising research idea? Apply now for the Young lnvestigator Group Preparation Program (YIG Prep Pro), a postdoctoral fellowship and support program at KIT
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Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date: 09.12.2025 Job description: Scientist (Postdoc) as research software engineer Referenzcode
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online application system: https://jobs.hki-jena.de/jobs/Doctoral-Researcher-mfdiv-in-Microbial-Genetic-Engineering-eng-f641.html# The deadline for the advertisement is December 14, 2025, but applications
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Cell Biol 160, 223–251 (2023). https://doi.org/10.1007/s00418-023-02209-1 Virshup, I., Bredikhin, D., Heumos, L. et al. The scverse project provides a computational ecosystem for single-cell omics data