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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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, 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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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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Postdoc Position in Experimental & Computational Plant Biology Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 12 days 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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https://jobs.dkfz.de/en/jobs/168327/postdoc-bioinformatics-computational-biolog… Requirements Additional Information Website for additional job details https://jobs.dkfz.de/en/jobs/168327/postdoc
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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. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address