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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 month ago
Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution
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applications received within the response period via the link below will be considered. Where to apply Website https://www.academictransfer.com/en/jobs/362854/postdoc-on-stable-optical-circu… Requirements
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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Stage Researcher (R1) Positions Postdoc Positions Application Deadline 1 Sep 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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Posted on Tue, 04/07/2026 - 20:37 Important Info Faculty Sponsor First name: Stephen Faculty Sponsor Last Name: Hinshaw Stanford Departments and Centers: Molecular and Cellular Physiology Postdoc
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knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
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, 2023 Batiuk, Höpfler et al., Nat Commun, 2024 Additional information can be found on the lab website: https://www.crg.eu/en/programmes-groups/hopfler-lab Contact: Markus Höpfler [email protected]
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members, including RSEs, postdocs, visiting PhD students, predoctoral researchers, and administrative hires. Coordinate with DSI Facilities and IT for building access, equipment setup, and computing
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communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running