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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science, and an interest in training
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level and obtain a PhD degree within four to five years Are creative and able to come up with fresh ideas to address technical challenges Like to write code and will not be afraid of a large software
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Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). It is located at the University of Leipzig and the TUD Dresden University
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-field measurements, HPC-based numerical simulations, and laboratory experiments. Oldenburg is particularly renowned for its unique large wind tunnel with an active grid and leading expertise in developing
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biogeochemical processes of the coastal ocean and the impact of anthropogenic influences on the natural state. It is located near Hamburg. PhD Position Reference code: 50136009_2 – 2025/KD 2 Commencement date: 1st
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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for a PhD student to join our team and help us make exciting new advances in applications of machine learning (ML) strategies for analyzing X-ray and neutron scattering data! You will be working in a
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understanding of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics
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Description About us ForWind – Center for Wind Energy Research has a vacant PhD position in the research group »Wind Energy Systems« at the Institute of Physics of the Carl von Ossietzky Universität
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will analyze epigenetic profiles in premature ageing embryos by Next Generation Sequencing, to understand the molecular network involved in these phenotypes. You will learn to analyze these Big Data by