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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms & validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed tomography
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Project Overview This 5-year BBSRC supported project is a highly multi-disciplinary effort between biology and engineering groups at the University of Oxford to advance cell-based assays
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focused on integrating synthetic biology, AI, and multi-omics technologies to decode and design gene expression regulation for human cell engineering. This role is based in Randall Centre for Cell
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providing technical support for local SMEs taking part in the DIATOMIC Innovation Accelerator. Working within a collaborative multi-partner environment, you will help transfer cutting-edge Digital Twin
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(e.g. phonetic, typological, geo-historical, topographical, and sociolinguistic) variably promote or inhibit prosodic convergence between languages in contact, and map findings on a digital multi-modal
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About us At the Centre for Developmental Neurobiology (CDN), we investigate the mechanisms governing the formation of the brain during embryonic development and in early postnatal life. This is
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed
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Week: 35 Closing Date : 07-Aug-2025, 11:59:00 PM Disclosure and Barring Service Requirement: Not Applicable. Working at Durham University A globally outstanding centre of teaching and research excellence
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University A globally outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading
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Engineering concepts. Experience of working as part of a multi-disciplinary team Competencies, Skills and Knowledge Excellent IT skills Good report writing skills Excellent communication skills Good team player