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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
Job description:Postdoc (f/m/d) / Scientific Assistant (f/m/d) Helmholtz AI Machine Learning Scientist With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
of machine learning and modern AI. ELLIS is co-funded by the Tübingen AI Center , one of five German national Centers of excellence for research on artificial intelligence. Roles & Responsibilities As a member
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | about 3 hours ago
performance computing (HPC), artificial intelligence and machine learning, as well as in the design and implementation of solutions for data-intensive projects in close collaboration with the Max Planck
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responsible for setting priorities and developing the department's specialist strategy. The institute has a larger, specialized AI cluster, and machine learning methods are already applied in several scientific
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on best practices and current developments in areas such as research software engineering, research data management, machine learning in the Leibniz Association, as well as at national and
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expertise in computational materials science, density functional theory, machine learning, etc. Ability to work within an interdisciplinary team of scientists, engineers, and students. Excellent knowledge
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knowledge in the field of machine learning, in particular deep neural networks Practical experience in the application of machine learning algorithms for both regression and classification problems Excellent
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Experience with machine learning Enjoy working in interdisciplinary teams Good communication and team abilities What you can expect Interesting and challenging tasks in applied research and development with
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machine learning, molecular simulations, statistical physics, multiscale modeling, and uncertainty quantification. In particular, openings are available in connection with the following projects
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Knowledge of C++ and/or Python Strong interest in the development and implementation of algorithms Experience with machine learning Enjoy working in interdisciplinary team Good communication and team