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transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and
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and Engineering (http://www.cse.uta.edu ) in the College of Engineering at The University of Texas at Arlington, invites applications for an open-rank Academic Professional Track (non-tenure) faculty
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
biology and in IT, including on-site HPC and GPU farms and multiple channels to scale-out to European supercomputing resources. Collaborative, Interdisciplinary Environment: Thrive within a network of
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About the role: The Costa Laboratory (https://profiles.imperial.ac.uk/t.costa ), in the Department of Life Sciences (https://www.imperial.ac.uk/life-sciences ), Imperial College London, invites
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elements will also be taken into account: Programming skills in C, C++ and Java, as well as knowledge of algorithms and data structures, software engineering, parallel computing and GPU programming
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
the NumPEx project (http://www.numpex.fr ) endowed with more than 40 million euros over 6 years from 2023, to build a software stack for Exascale supercomputers related to the arrival in Europe of the first
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training, fine-tuning, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background
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. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems, including: Relational databases (e.g
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Asia. Its mission is to contribute to safer and more sustainable societies through scientific excellence and impactful research. For more information, please visit: http://www.earthobservatory.sg EOS
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computational resources. At IP2I, dedicated scientific computing infrastructures, including CPU and GPU clusters, HPC facilities, and big-data environments, are available for large-scale simulations and data