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collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative analysis. The student’s work will provide
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these processes. Within the research group, we highly value a positive work environment characterized by respect and care in our relationships with one another. We continuously strive to create conditions that
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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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requires detailed imaging, beyond what is currently possible in humans in vivo. In this NWO-funded Vici project, we will leverage Ultra-High Field MRI (7T) with recent advances in MRI hardware, acquisition
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areas: AI/ML, image processing, molecular modeling and docking Strong experience in Python and C++ programming (knowledge of Fortran is a plus) Strong interest in interdisciplinary research bridging
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microscopy Experience in live super resolution imaging Oral and written skills in English language Scientific conference participation Publication record PhD Student Position 3 Required qualifications: BSc in
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imaging methodologies, biological sample preparation, vacuum technology, laser operation and optics, and electrical and mechanical engineering. Furthermore, you are expected to present your work in
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of the PhD. Selection process Pre-selected candidates will be interviewed online in June 2026 Additional comments Please send your CV, a brief cover letter, and the contact details for at least two
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging