185 assistant-professor-computer-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Nature Careers
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Computational Researcher / Bioinformatician The de Groot Lab is establishing a computationally-driven research group at the Institute of Molecular Biotechnology of the Austrian Academy of Sciences
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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for a/an ... University Assistant Postdoctoral 52 Faculty of Chemistry Startdate: 2026-05-01T00:00:00Z | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
hybrid scientist who wants to help define a next-generation research program at the intersection of microbiology, genomics, and quantitative biology. St. Jude is an Equal Opportunity Employer No Search
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy
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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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Job Description Collaborates with new and existing program partners to support research initiatives, including the collection, analysis, and interpretation of primary and secondary data to address
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Professor Andrei Bernevig (Princeton University; visiting professor at Aalto University) and Professor Päivi Törmä (Aalto University) are looking for a highly motivated Postdoctoral Researcher
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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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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https