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Field
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Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare
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research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The
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data engineers, contributing to high-impact research on cancer prevention and risk. About you The successful candidate will work in a collaborative and internationally connected research environment
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that translate evidence-based interventions for preventing suicide and violence in communities, functional magnetic resonance imaging (fMRI) studies, firearm injury prevention through technology and engineering
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mechanisms underlying ocular and neurodegenerative diseases. The successful candidate will apply advanced computational approaches to integrate multi-omics and imaging datasets, identify disease mechanisms
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candidate will apply advanced computational approaches to integrate multi-omics and imaging datasets, identify disease mechanisms, therapeutic targets, and biomarkers, and contribute to an interdisciplinary
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied
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(for Research Engineer) with expertise in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Robotics, or a closely related field. Experience in developing, training, validating and
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Department of Health Technology and Informatics Research Fellow / Postdoctoral Fellow (two posts) (Ref. 260624001) [Appointment period: each for twelve months] The Laboratory of Artificial