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-Based Automated Driving Systems with Autoware (in the case of fulfilled personal requirements classified at the E 13 TV-L Level) is available immediately. The position is initially to be filled on a full
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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Inverse Design of Perovskite-Based Materials for Photovoltaic Devices Your Job: As a PhD candidate, you will develop and deploy an artificial intelligence (AI)-driven approach to streamline high-throughput
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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-motivation and interest to learn new skills Great to have: Experience programming in Python, Julia, or C/C++ Experience with Mathematica Experience with finite element methods, agent-based simulations, and/or
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Description The Leibniz Institute of Vegetable and Ornamental Crops (IGZ) strives for excellence in horticultural research and related plant, environmental, and social sciences. Based in Großbeeren
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Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied Mathematics, headed by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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. Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission: Development and application of advanced simulation techniques to explore and