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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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develops new intellectual understanding, for example generative AI, and deep learning-based methods. About You You will have extensive experience of working with large data sets. Candidates are expected
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to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational
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, climate-driven changes in pollutant dynamics, and associated health impacts by developing and applying deep-learning approaches to enhance air quality predictions and long-term projections under diverse
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develops new intellectual understanding, for example generative AI, and deep learning-based methods. About You You will have extensive experience of working with large data sets. Candidates are expected
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large team of scientists interested in the foundational issues of Artificial Intelligence and Deep Learning. For further information about Mathematical Sciences at the University of Southampton please see
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, communication and all procedures with clinical trial volunteers across sites in Oxford and London. Through this, you will develop a deep understanding of CHIMs in general and benefit from the excellent portfolio
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, and they will be expected to lead and contribute to future funding bids. We are seeking an ambitious, self-motivated researcher who has expertise in machine learning, deep learning and graph neural
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part of this mission, UCL is launching a five-year, Medical Research Council-funded Deep Network Modelling in Neuro-oncology programme. This pioneering project aims to build a robust framework that
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editing and real time super-resolution imaging to the use of microfluidic devices and the development of deep learning segmentation tools. For their studies, the Conradt group uses the nematode