108 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs at Nature Careers in Germany
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, achievements and experience in acquiring and managing third-party funded projects, outline of proposed future research activities, copies of certificates and documents, any further information on key positions
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submitted as a PDF attachment to the application. Further information can be found at Recognition of Degrees and Achievements . For information on fair mobility, click here: https://www.fair-labour
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date a Biostatistician Reference number: 2026-0057 The Division of Biostatistics provides state-of-the-art statistical support individually tailored to all scientific duties of the DKFZ. We analyze data
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team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our
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of Federated Information Systems is seeking for the next possible date a Scientific Project Coordinator in part-time (80%) Reference number: 2026-0045 We are seeking a highly motivated scientific project
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., blood, tissue, stool, etc.), their processing (e.g., PBMC isolation), and biobanking in adherence to ethical guidelines, data protection, and biosafety regulations and maintaining databases
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and analyzing information relevant to research strategy and assisting in the development of institute-related concepts Your Profile A university degree with above-average grades, preferably a Ph.D. in
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the transfer of new ideas from the lab to real-life applications, improving lives. The Computational Health Center (CHC) at Helmholtz Munich drives research at the intersection of artificial intelligence, data
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multi-omics data resources to drive innovative research REQUIREMENTS: Master’s degree (or higher) in (bio-)statistics, epidemiology, mathematics, or a related discipline Proven proficiency in R Solid
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interdisciplinary and international team of bioinformaticians, molecular biologists, and clinicians to identify (i) targetable lesions for cancer patients in high-dimensional data, including next-generation