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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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approaches for drug design by combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038
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advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational performance while
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machine learning and artificial intelligence For postdoctoral applicants: • A PhD in computer science, engineering, mathematics, or a related field, completed or expected by the starting date • A strong
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL ( Prof. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and
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expected to have: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as
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Swiss Federal Institute of Technology Lausanne, EPFL | Lausanne, Canton de Vaud | Switzerland | about 2 months ago
materials. Areas of particular interest include electronic-structure theory from method development to state-of-the-art, large-scale calculations, multiscale simulations, and data-driven and machine
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activity, synaptic plasticity, machine learning, and the development of fast, energy-efficient neuromorphic systems. The candidate will also play a central role in developing teaching activities in
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( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot