1,561 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions in Germany
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Center for Molecular Bioengineering (B CUBE) (https://tu-dresden.de/cmcb
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science (for example, but not limited to, data science, machine learning, statistics, computer science, mathematics, etc.) acceptance by a PhD supervisor with examination admission for PDS and formation
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the position and the application procedure, please see the following website: https://www.uni-bayreuth.de/job-vacancy-keyword-hydrosphear-predoc-6b4731df16ab0e66 Where to apply Website https://www.uni
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applicants. Deadline: 06 May 2026 European XFEL GmbH Holzkoppel 4, 22869 Schenefeld, Germany www.xfel.eu Where to apply Website https://cockpit.as-mediendesign.de/jump1/121522 Requirements Research
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website regularly: https://www.cih.lmu.de/education/study-programs/phd-program/application Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention (https://www.dife.de/en/). We invite
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natural sciences (http://www.gauss.uni-goettingen.de ). The Faculty of Physics offers you a wide range of physical sub-fields such as the following: astrophysics biophysics geophysics materials physics
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Muehlleitner (ITP), Prof. Dr. Thomas Schwetz-Mangold (IAP), and Prof. Dr. Felix Kahlhoefer (TTP). KIT is also home to a lively experimental program in astroparticle physics (https://www.iap.kit.edu/english
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research with the combined tools of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine
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of geothermal energy systems, the storage of energy sources and technologies to couple the energy sectors of heat, electricity and transportation. Machine learning and deep learning methods are increasingly