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, massively parallel genomic/proteomic/clinical]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including
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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 | about 2 months 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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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
broadly construed, e.g., functional programming, quantum programming, semantics, type theory, effect systems, formal verification, static analysis, reactive, concurrent, and parallel programming, compilers
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and postdocs. In parallel, they will oversee the development and implementation of computational strategies to support and enhance research activities across the institute. Your Responsibilities: Lead
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computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to build systems where agents operate with independence
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(Initial Training under Apprentice Status): ECUE "Fundamentals of AI" (lectures/tutorials/practicals in flipped classroom format, parallelized for classes of 140 to 250 students); ECUE "Algorithms and Object
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) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is
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for process improvement projects General team and lab duties-first time doing activities will be done in parallel to Tissue Culture Techniques (5%) Processing of blood and tissue samples from Human and Nonhuman