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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models. You will have one supervisor from the mathematical sciences
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably also background
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physics and cosmology. The research team includes leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. We are going to use astrophysical
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will be matched with PIs’ projects. Who can apply? We are looking for excellent candidates with a completed Master’s degree in various fields (Life Sciences, Bioinformatics, Mathematics, Physics
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. The institution sets its own deadline for the admission process. Please inform yourself in plenty of time about the application process at the host institution. Further information For detailed information please