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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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, by integrating image analysis and docking across multiple structural states. The new tools will be validated through their application to VCP/p97 data, a key protein that plays a central role in
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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 The PhD student will
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€ 3.059,00 (PhD) and maximum € 3.881,00 (PhD) gross per month in the fourth year, on a full-time basis. a position for 1 FTE. Your employment contract will initially last 1 year. If there is sufficient
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computational enhancement. Once operational, you will focus on high-resolution imaging and nanoscopy. Your duties doing research towards writing a PhD thesis develop and optimise DUV microscope at the absolute
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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call. General university admission deadlines or procedures do not apply to this recruitment process. Website for additional job details https://oc10.meduniwien.ac.at/open-phd-positions Work Location(s
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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co