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Field
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative
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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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, Computer Science, or other related STEM programs. Strong understanding of mathematical modeling and simulation of dynamical systems, with a focus on time-series analysis. Experience with machine learning and deep
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Bewerbungsende: 15.09.2025 The AI4Science Group (former Computational Molecular Biology - head: Frank Noé) is an interdisciplinary research unit active in the development of machine learning methods
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
reality, and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision, and advanced graphics, we are modelling every nuance of how humans and animals look and move. We develop
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related discipline. Strong expertise in machine learning, spiking neural networks, and computer architecture. Excellent programming and research skills. Interest in translational research and
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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
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simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree
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adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models