128 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology"-"https:" positions at Nature Careers in Germany
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funded by the German federal government and 10 percent by the state of Berlin. A fully funded computational postdoctoral position is available in the Spatial Proteomics research group headed by Dr. Fabian
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deformation and damage model for high-temperature fatigue Performing FE simulations of damage development at the microstructure and component levels Exchanging information and presenting the results with and to
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. RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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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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candidate with a visionary approach to the tight integration of cutting-edge high-performance computing (HPC) and research software engineering (RSE) with the highly dynamic MDC research environment. What we
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The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team
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with high-performance computing environments. Independent, creative, and able to thrive in a collaborative, interdisciplinary setting. What We Offer A stimulating research environment at Helmholtz Munich
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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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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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RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms