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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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/0486.1-BOrder-a/@@images/file We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://bnl.wd1.myworkdayjobs.com/en-US/Externa/job/PostDoc---Machine
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and abilities Experience in massive parallel computations on HPC systems. LanguagesENGLISHLevelExcellent Research FieldAstronomy » AstrophysicsPhysics » OtherAllOtherYears of Research Experience4 - 10
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of the 3D Biology research programme at the Radboud university medical center. You will also collaborate closely with scientists at HUB Organoids who are running parallel programmes and with researchers
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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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(RTP) by metal-free compounds and double thermally activated delayed fluorescence (TADF) from single molecules. Work assignments The proposed postdoc project among others will include computational
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Information Tax-exempt Fellowship Job Status Full-time Hours Per Week 45 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/356356/postdoc-on-thz-imaging-cameras-… Requirements
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis