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Research / Data Scientist in Bioinformatics Reference number: 2026-0048 Heidelberg – Full-time, Part-time – Soft-tissue Sarcoma Your work will focus on bioinformatic analyses of transcriptomic
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. To strengthen our team, we are seeking for the next possible date a Research / Data Scientist in Bioinformatics Reference number: 2026-0048 Your work will focus on bioinformatic analyses of transcriptomic
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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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Science, in the Bioinformatics group, which belongs to the University of Greifswald’s Faculty of Mathematics and Natural Sciences, there is a job vacancy, subject to the allocation of funds, expected to be
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26.03.2026, Academic staff Doctoral Candidate f/m/d in computational proteomics/bioinformatics with a focus on plant proteomics Candidates must hold a master´s degree in Data Engineering, Data
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for Tumor Diseases and the German Cancer Research Center as of May 2026 a Postdoctoral Scientist in Translational Bioinformatics and Pharmacogenomics Reference number: 2026-0041 Your Tasks You will work in an
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14 Mar 2026 Job Information Organisation/Company Deutsches Krebsforschungszentrum Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 6 Apr 2026 - 10:22 (UTC) Country Germany Type of Contract To be defined Job...
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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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systems. The Signal Processing and Sensing (SPS) group participates in national and international research projects addressing relevant topics in the fields of signal processing for mobile communications
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the human mycobiome by reanalyzing metagenomic datasets and processing clinical samples to identify yeast species and strain diversity Integrate multi-omics data (myco- and microbiome composition