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Field
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viability data to discover new biomarkers and treatment strategies. You will work in a highly interdisciplinary environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with
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11 Dec 2025 Job Information Organisation/Company ARCNL Research Field Chemistry » Applied chemistry Chemistry » Physical chemistry Engineering » Materials engineering Engineering » Process
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& Imaging Sciences, King’s College London. About the role Applications are invited for a clinical research fellow in Cardiac MRI to undertake clinical and research activity focussed on advanced adult
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strong interest in any of the following: Image Processing, NLP, Knowledge Representation, Clinical Informatics, Bioinformatics, Biomedical Ontology, Nursing Informatics, Imaging Informatics or Public
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of the grant holder through the application of the selected methodologies and approaches; - critically assess the research process and evaluate the results obtained.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME
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language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and alignment. AI Postdoctoral Research Fellows will be appointed through the Princeton
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environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with access to state-of-the-art robotic drug screening and high-content microscopy infrastructure at the NOR-Openscreen
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in English (written and spoken) - Degree in electrical engineering, computer science, or a related field; 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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required to substantially advance a research programme focused on next-generation optical imaging and sensing technologies, aimed at pushing the boundaries of performance and enabling new capabilities
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data (such as imaging datasets, electrophysiology datasets or video data) is highly desirable. For NeuroAI focus: Proficiency in popular deep learning, computer vision and/or user-interface software