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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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, finite volume, and machine learning to solve challenging real-world problems related to structural materials and advanced manufacturing processes. The successful candidate will have experience with
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 19 days ago
, embeddings with transformers, training with flow matching) and high performance computing (e.g. handling large-scale parallel simulators, multi-node and GPU training on large supercomputers). When considering
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an international executive search process in parallel with the public advertisement of the role. For a confidential conversation, please contact Claudia Roth Claudia.Roth@perrettlaver.com Applications can be
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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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on a rotating basis & some extended hours as need Job Summary: The Buyer I supports the formal competitive bid process, development of contracts, service agreements, leases and other written legal
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nourishment, vegetation and palisades, in reducing overtopping processes; vii) apply optimized solutions to a case study, to test their efficiency under real conditions. In parallel, the fellow should
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/technical programs and university-parallel/college transfer programs. The goal of the TRIO SSS Navigator is to serve students by providing a high touch, high quality involvement through application
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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid