347 data-analytics-phd "https:" "UNIVERSITY OF COPENHAGEN" Postdoctoral positions 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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: 1/7-2026 or upon agreement The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW) at University of Copenhagen is looking for a PhD student and a postdoctoral fellow to join the research
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
Environment at Roskilde University and the Niels Bohr Institute at the University of Copenhagen. The project is both cross‑disciplinary and cross‑institutional and we place a strong emphasis on excellent
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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering
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, offering the chance to engage and connect—our PhD Representatives offer information and advise when needed the chance to be part of an engaged, interdisciplinary team a stimulating working environment in
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deliverables, as well as prepare research proposals to attract public and private funding Mentor and supervise PhD students and student assistants working on related topics For further information, please
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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. The Center brings together experts on climate impact research and landscape analyses with backgrounds in biogeochemistry, agronomy, biology, geography, and social sciences from Aarhus University and University
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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bring Essential PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs