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complexity required to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental
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(for steam production), (optimal) control (MPC), physics-based modelling and optimization. Numerical optimization, scientific computing (in C/C++) and general coding (python, Java) are important
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immediately before the recruitment (this is a requirement from the funding authority). Strong skills in the English language. Expertise in photonics, numerical methods, and/or scientific computing/HPC or in
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months in the 36 months immediately before the recruitment (this is a requirement from the funding authority). Strong skills in the English language. Expertise in photonics, numerical methods, and/or
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artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI
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collaboration with researchers across VIB centers , applying state-of-the-art methods to cutting-edge biomedical questions. Design, implement, and evaluate ML and foundation-model approaches, including LLM
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methods into research, discovery, and innovation. For more information, visit vib.ai/en. How to apply Please complete the application through the VIB online application tool ( https://jobs.vib.be
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
KU Leuven, Dept of Computer Science and Dept. Electrical Engineering). We are particularly interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic
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interpretability and data adaptivity. Operator inference strategies can/will be employed to infer the properties of such a model. • Extend the methods to a parametric calibration model through new material
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI architectures for biology