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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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English language courses No Tuition fees per semester in EUR None Semester contribution For more information, please contact us directly at phd@ksop.kit.edu . Costs of living The estimated general living expenses
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semester Application deadline The deadline for the DAAD EPOS scholarship via BIGS-DR is 31 August for the following academic year. For applicants with secured funding, the deadline is 1 May for a start in
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 12 hours ago
programmes: any time Additional information on beginning, duration and mode of study Following the online selection symposium in February, admitted PhD students can start at any time between March and October
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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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, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link: https://www.lmu.de/en/study/important
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, large data sets for each individual patient are already routinely collected and systematically recorded. A further increase in complexity is expected in the coming years due to increasing use of molecular
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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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semester Application deadline Will be announced on webpage: https://www.mgse.econ.uni-muenchen.de/application/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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application to Online application portal Information and instructions: https://www.mps.mpg.de/phd/application Latest call for applications: https://www.mps.mpg.de/phd/applynow Online application portal: https