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Field
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of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential for modern technologies, including
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning
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collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode. Get started now Apply directly through the
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environmental toxicology, you will have the opportunity to advance Adverse Outcome Pathways (AOPs) and support the development of New Approach Methods (NAMs), thereby contributing to a more sustainable and
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well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 29 days ago
: Large-Space Gaze Analysis via Multi-camera System for Social Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly
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close collaboration with five partner institutions. The PhD candidate will be supervised by Dr. Tao Yuan and co-supervised by Prof. Olaf A. Cirpka. Responsibilities: Develop a pore-scale Thermal-Hydraulic
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Modeling for Hydrogen Storage (m/w/d, E13 TV-L, 75%) Responsibilities: Develop a pore-scale model for two-phase flow of hydrogen gas and brine Develop a bioreactive-transport model and couple it with the two
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well as machine learning techniques, is central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and mechanisms occurring in
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techniques to address questions related to microbial physiology and community dynamics. At the same time, there is room to develop and refine the experimental platforms themselves, including opportunities