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programming proficiency in Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA
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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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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 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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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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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 21 days ago
optimizing and parallelizing workflows to run on compute clusters. This position is ideal for someone who is looking to gain research experience, enhance their technical skills, or is considering graduate
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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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, 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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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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analyses on a high-performance compute cluster, utilizing parallelization and multi-threading, and mastery of the R statistical language. Experience in neurodevelopmental outcomes and prenatal exposures
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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