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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
of the Heidelberg University is recruiting a visionary Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disease (f/m/d; tenured) This is not just a job—it’s a mission. A
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Programme is a scientific visitor scheme designed to provide early-career students/researchers (prior to embarking on a PhD) with a passion for technology and tool development an opportunity to gain hands
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We seek a highly motivated Computational Scientist (m/f/d) for Cancer Antigen Discovery to join our Computational Genomics unit. We are an interdisciplinary team of scientists, PhD students, and
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: Dr. Priya Chudasama) is seeking for the next possible date a Scientist in Computational Biology Reference number: 2025-0155 We are seeking a computational biologist to join the efforts
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interdisciplinary program, HEIBRiDS trains young scientists in Data Science applications within a broad range of natural science domains, spanning from Earth & Environment, Astronomy, Space & Planetary Research
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University Magdeburg invites applications for the position of a Professor in General Psychology and Computational Modeling (Open Rank W1/W2 with Tenure Track to W3) The successful candidate should have a
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Bioengineering (CMCB), the Research Group Biomedical Genomics offers a full-time project position as Research Associate / Postdoc Computational Single Cell Omics (m/f/x) (subject to personal qualification
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The Faculty of Mathematics and Computer Science at the University of Göttingen invites applications for a temporary professorship with civil servant status (grade W1 NBesO) with tenure track (grade
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell