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AGILE – Advanced Plant Chromatin & Imaging Research starting in September 2026, offering an exciting opportunity for PhD candidate to contribute to collaborative project goals. If you are interested in
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24 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund Research Field Medical sciences » Medicine
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project alongside 14 other PhD. students, all pushing the boundaries of quantitative imaging in plants. The ideal candidate profile: Must-have: MSc or equivalent degree (preferably in Life Sciences) Strong
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synchrotron method: 2DµXRD imaging. We have recently demonstrated a proof of concept of this experiment4. The PhD aims at (a) increasing resolution of 2DµXRD imaging and (b) make this technique available
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engineering, physics, biology or a related field and a demonstrable interest in MRI or medical imaging. A vivid interest in high-resolution imaging or the human cerebellum would be a plus. Proficiency in spoken
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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
Computer science » Other Medical sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 5 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract
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) at Vrije Universiteit Brussel (VUB) is looking for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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program! At the Department of Medical Epidemiology and Biostatistics, we are announcing the position as DDLS PhD student in Data-driven precision medicine and diagnostics. Data-driven precision medicine and