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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of organic chemistry (Faculty of Science) at Charles
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 8 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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Requisition Id 15558 Overview Oak Ridge National Laboratory (ORNL) is seeking highly motivated HPC Linux Systems Engineers to join teams operating some of the most advanced computing environments in
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quoting reference number 8109. Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. The UNSW Selection Panel will meet to decide upon a final
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Requisition Id 15559 Overview Oak Ridge National Laboratory (ORNL) is seeking a Senior HPC Linux Systems Engineer to serve as a technical leader supporting some of the most advanced computing
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Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3 administrative
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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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