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-of-the-art infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre). Being part of a rapidly evolving
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@ucl.ac.uk) or Prof Peter Lee (peter.lee@ucl.ac.uk). For application process queries, contact Ruikang Xue (ruikang.xue@ucl.ac.uk). About you You will have a PhD in a relevant discipline (e.g. computational
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, and neuroscience, and access to advanced resources such as imaging cores, iPSC-derived systems, and AI-driven tissue analytics. Responsibilities: • Design and Execute Experiments Using Mouse Models
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– Resolution of appeals 16.01.2026 – 4:00 PM – Final results Additional comments We are seeking a PhD student in Machine and Deep Learning for Satellite Image Processing to join our team, who will be
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history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
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(see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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supercomputer (https://dcai.dk/gefion ). Downstream finetuning of models for various radiotherapy related tasks (e.g. image segmentation, dose prediction) will also be a part of the study. As part of the position