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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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AI forecasting and optimization tools that enable fair, value-oriented, and grid-friendly energy sharing across consumers, Energy Communities, and multi-community ecosystems. The project goes beyond
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Basel has generous resources for genomic analysis (scientific high- performance computing, data management, training and support). Furthermore, our Department of Environmental Sciences offers a
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scientific computing frameworks Strong analytical thinking, problem-solving ability, and communication skills Demonstrated ability to work independently while contributing effectively to collaborative