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using building measurements , physics-based simulations and energy-system optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization , including
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developed methods will be applied in iterative prospective drug-discovery cycles, with a serine protease from the complement system serving as a real-world lead-optimization case study. The successful
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developed methods will be applied in iterative prospective drug-discovery cycles, with a serine protease from the complement system serving as a real-world lead-optimization case study. The successful
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management and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D
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facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods