27 affective-computing-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions at Nature Careers in Germany
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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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experimental teams to integrate transcriptomic and imaging data with computational models and actively contribute to experimental design. Contribute to publications in high-impact journals and present findings
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of Computational and Molecular Prevention (headed by Prof. Dr. Filimon Goncalves) is seeking for the next possible date a Postdoctoral Researcher – Computational & Translational Analysis of Pulmonary Nodules
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application instructions), please visit: https://www.mpg.de/en/max-planck-postdoc-program . To submit your application online, please visit: https://postdocprogram.mpg.de The application deadline is April 13
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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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applications for the department AG Dichgans on the 1st April 2026, in full time, for Postdoctoral Researchers in Vascular Biology, Neuroscience, or Computational Biology – CRC 1744-funded (m/f/d) Scope of duties
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applications for the AG Liesz on the 1st April 2026, in full time, for Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology – ERC funded (m/f/d) Scope of duties A postdoctoral
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key component of the work will involve the computational integration of multi-omics datasets from both microbial communities and the host, with the goal of uncovering the systemic impact of gut bacteria
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on the impact of tourist landings, in terms of damage, diseases and introduction of alien species, but also in terms of the impact of the increased presence of ships in the region. Moreover, tourist fleet
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key component of the work will involve the computational integration of multi-omics datasets from both microbial communities and the host, with the goal of uncovering the systemic impact of gut bacteria