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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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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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PhD Scholarship Keep military drones hidden from enemies! This PhD develops cutting-edge stealth communication tech so UAVs can coordinate and sense their environment without ever revealing
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. General Requirements Candidates should have (i) a PhD degree in imaging science or related field or an equivalent
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be evaluated for lung diseases imaging which are still challenging to diagnose and treat, despite advancements. We will carry out preclinical studies to evaluate the contribution in combination with
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the first week of August 2026. Job Duties Basic (non-health) image data processing under supervision of a graduate student or faculty Basic (non-hazardous) specimen preparation for imaging experiments under
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perform molecular level diagnoses for precision medicine. About Dr. Jovanovic-Talisman: Tijana Jovanovic-Talisman, PhD is an Associate Professor in the department of Cancer Biology and Molecular Medicine
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remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
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to develop a hyperspectral DUV imaging system for applications in microscopy in the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com