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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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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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a leading role in shaping the lab's computational strategy, contributing to high-impact publications and external grant applications, and, ideally, act as the computational lead of the lab. VBC-wide
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Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32
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interface of machine learning, genomics, and scientific computing, contributing both methodological innovation and translational impact. Close collaboration with Helical-AI will ensure that developed models
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
Job Description We are seeking an interdisciplinary postdoctoral researcher to join our lab at St. Jude Children's Research Hospital to develop new experimental-computational approaches for studying
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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 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