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ourselves into one of the best universities in the world. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role This is an exciting new
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence
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algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition protocols
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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Europe | about 2 months ago
manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right
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processes within the soil–plant–atmosphere continuum. Sensing technologies, laboratory, field, and regional-scale experiments, as well as modeling approaches are used to bridge gaps between the different
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differences or random direction stochastic approximations, offer general-purpose strategies that only rely on function evaluations. While conceptually simple, zeroth-order methods tend to scale poorly with
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
pipeline into production, working with a team of scientists to develop, implement, and deploy cutting edge algorithms and approaches to astronomical difference image analysis, image resampling and