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Übersicht Research Engineer for Visual Programming 50%-100%, Zurich, fixed-term Drucken In the AST Lab, led by Prof. Zhendong Su, at ETH Zurich's Department of Computer Science (D-INFK) we advance
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Okinawa Institute of Science and Technology | Science Institute, Karnataka | India | about 20 hours ago
job recommendations straight to your inbox. Create alert Similar jobs Department Head Blacksburg, Virginia President of the French National Institute of Health and Medical Research (INSERM) Paris, Ile-de-France (FR) Executive Director – NCTI Orlando, Florida
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
, 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 datasets in the
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 10 days ago, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 10 days ago
: Algorithms, data analysis, graph, network, and complexity theory Scientific computing, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing
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earlier. The applicant must have a strong scientific background with relevant expertise in cell and/or molecular biology. Interest in programming, computational biology and statistic towards high
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programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element modelling is an advantage. Background
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing