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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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. Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc or equivalent degree in Molecular Biology, Genetics, Biochemistry, Epigenetics, or a related discipline
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scattering experiments with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise-ratio, computing the structure from such data is
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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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-supervisor from the partner university); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and
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measurements of VOCs and particles at selected locations in Bremen, as well as meteorological and model data. Academic assistance in teaching, amounting to 2-3 SWS (hours per semester week) including
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online. Please note: If you have any technical questions or problems your local information and advice centres could not help you with, please do not hesitate to contact portal@daad.de via e-mail. Please
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an immediate vacancy for a research assistant (m/f/d) (TV-L E 13) in the field of Reliable (Safe and Protected) Autonomous Driving in Clausthal-Zellerfeld, initially for a period of up to 3 years on a full-time
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wide range of offers to help you balance work and family life Further training opportunities and free in-house language courses The group language is English, so no German language skills are required
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of techniques for the analysis of topological data. Targeted activities in the field of public relations are also planned. The activities will mainly be based at the Institute of Scientific Computing