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of the Faculty of Fundamental and Biomedical Sciences at Paris Cité University (UPC). It comprises six permanent researchers, two permanent engineers, and four doctoral students. It benefits from a rich scientific
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About Us The School of Biomedical Engineering & Imaging Sciences seeks to appoint an enthusiastic and proactive clinical research fellow to undertake research and imaging activities to spearhead
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imaging under the supervision of Dr Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London
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tasks and protocols with minimal supervision and in collaboration with Lewis lab members. · Think creatively to develop and validate experimental protocols. Basic Qualifications B.S. in Biomedical
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congenital cardiovascular magnetic resonance imaging under the supervision of Dr Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering
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of a project leader Person Specification First degree in physics, biomedical engineering, or a related discipline PhD (or near completion) in an area related to photoacoustic imaging with Fabry-Perot
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of Biomedical Engineering | Faculty of Medicine (Ali Bashashati) Posting End Date November 30, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date December 31, 2027
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
across visual, textual, and biomedical data modalities. While one major application area is biomedical and neuroscience imaging, the research will emphasize core AI challenges in representation learning
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
across visual, textual, and biomedical data modalities. While one major application area is biomedical and neuroscience imaging, the research will emphasize core AI challenges in representation learning
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning