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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology Reference number: 2026-0007 The Division
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interdisciplinary, and together we contribute to science and society. Your role The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors
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14 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Researcher
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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Area of research: Scientific / postdoctoral posts Job description: Postdoc (f/m/x) in Biological Physics / Computational Biology 102913 Full time 39 hrs/week Munich At Helmholtz Munich, we develop
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, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology Reference number: 2026-0007 The Division
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 1 month ago
/m/x) in Biological Physics / Computational Biology 102913 Full time 39 hrs/week Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We
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; iii) Climate Science or Climatology with strong quantitative/computational skills for coastal climate change analysis and climate adaptation; iv) Environmental Science or Geography with emphasis
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address