38 data-"https:"-"https:"-"https:"-"https:"-"BBMRI-ERIC" scholarships at Nature Careers
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PhD position / Postdoc position (all genders) in AI for biomedical data analysis Full time/ Part time | Temporary | Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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., Denmark. Contacts Applicants seeking further information regarding the PhD position are invited to contact: For information about application requirements and mandatory attachments, please see our
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et al., Nat Comms 2023, Alsina-Sanchis et al., Cancer Res 2022). For more information please refer to: Vascular Signaling, Metabolism and Cancer Your tasks: Research in the field of endothelial cell
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. Research at the DKFZ is organized into the following programs with a lot of interaction and interdisciplinary PhD projects available across different topics: For more information about the groups and their
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the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based computational modeling
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the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) - one of the largest quantum hubs in
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the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) - one of the largest quantum hubs in
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement