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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
of English We offer PhD position within the ERBIOM project, embedded in an established group with deep expertise in computational structural biology Access to IOCB Prague's research infrastructure and
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- 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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. The PhD researcher will be formally embedded in the Department of Intelligent Systems (DIS) and will collaborate closely with the Department of Computational Cognitive Science (DCS). The project The SHIELD
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by other advanced imaging techniques such as NMR and X-ray Computed Tomography (XCT). The dynamics of spreading of chemical products at different conditions in different porous materials using
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Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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"embedding" av en tredjepartsplattform på nettsiden. Personvernregler for databehandling: Microsoft, ASP.NET - Personvernregler for databehandling Utløpsdato: Session Navn: __RequestVerificationToken
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Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute
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fatigue limits participation. This project is embedded within the NWO-TTW funded Care is Coming Home programme. This large multidisciplinary consortium brings together academic medical centres, universities
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ecosystem behind our computational imaging research. The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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often rely on restrictive assumptions or application-specific computational workflows. The PhD project aims to address these limitations by developing a unified, scalable, and interpretable framework