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these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel computer codes using the Message Passing Interface (MPI). This is
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position within a Research Infrastructure? No Offer Description Activities and context: To conduct a randomized, controlled, parallel-group clinical trial to evaluate the effects of the BioMedBra Diet
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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to write scientific articles autonomously, evidenced by a first-author publication record. Communication and autonomy: Ability to work independently, manage several projects in parallel and communicate
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deployed through conventional casting for standard applications and through 3D printing for complex or non-planar geometries. In parallel, circular end-of-life strategies will recover fibres, upcycle fines
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education that parallels with the State of New Mexico and National EMS Standards curriculum. Duties are performed in the context of a comprehensive community college, understanding of the community college
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 8 hours ago
computations and developing efficient quantum error-correcting codes. Different approaches to implementing quantum computations are being pursued in parallel. The most widely-used approach is that of quantum
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and biological mechanisms underlying bleeding phenotypes by integrating whole-genome sequencing with functional studies in individual patients and affected families. In parallel, the project focuses
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML