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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software technologies Proficiency in English Experience in parallel training of large DL
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Children’s Health, Uppsala University. In parallel, you will build a broad network for collaboration and professional development. The Department of Medical Cell Biology at Uppsala University offers a highly
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biological scales. Project background Cells are mechanically heterogeneous systems composed of proteins, membranes, and compartments with distinct physical properties. In parallel, they continuously sense and
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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, usable optical systems such as laser lock circuits and laser sources, iterating quickly based on experimental results and feedback. In parallel, you will contribute to prototyping, validating, and
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difficulties in the current computer simulations of biomolecules. Keywords: Polymer Chemistry, Molecular Dynamics, Data Science * details of the business RIKEN is Japan's largest and most comprehensive research
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manipulation Expertise in R and foundations of statistics Excellent communication skills and motivation to work collaboratively Ability to work independently and manage multiple projects in parallel Proficiency
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source areas. With the shifting focus of policy from deposition to emissions (target management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based