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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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Details Title Lecturer of Cell Biology and Director of the Core for Imaging Technology & Education (CITE) School Harvard Medical School Department/Area *** Position Description The Department
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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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core theme of the Faculty of Medicine, Dentistry & Health and is recognised in our NIHR Biomedical Research Centre Imaging and Engineering theme and the research focus of the Insigneo institute . We
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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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equipment acquisitions and emerging imaging technologies; assisting in the preparation of funding requests for new or replacement instruments. Qualifications Required: PhD in a relevant field (e.g., molecular
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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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, moisture‑related defects and narrow processing windows, limiting their wider adoption. This PhD will address these challenges through a combination of experimental materials science, advanced
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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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