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Applications are invited for the role of Clinical Research Fellow in Imaging and Brain Cancer, based in the Magnetic Resonance and Precision Imaging (MR&PI) Theme of the Nottingham NIHR Biomedical
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Research Assistant in Cell Biology and Imaging, Faculty of Biological Sciences Salary: Grade 6 (£32,546 - £38,249p.a.) This role will be based on the university campus. We are also open to
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validate mechanical and electronic systems for image-guided therapy. Integrate pioneering and proven tools for the precise control and validation of interventional device placements. Examine clinical
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background in cell biology and imaging? Do you want to further your career in one of the UK’s leading research intensive Universities? We are seeking an outstanding Research Associate to join our dynamic
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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Are you passionate about cutting-edge fundamental research on molecular and 2D materials heterostructures? Are you looking to pursue your PhD in an excellent, interdisciplinary research environment at a leading German university? If so, we invite you to apply! The newly established Collaborative...
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous
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Fellow in Plant Phenotyping and Image Analysis Duration: 3 years Location: Benguerir – Morocco Areas of research: Plant Phenotyping, Image Analysis, About UM6P: Mohammed VI Polytechnic University (UM6P
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image