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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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the research will be to synthesise the data from various engine and aircraft models to enable an evaluation of the coupled system. In this context, this post will also focus on developing the exhaust design tool
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evaluation. We are looking for an individual with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and
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of the University of Southampton, but a large part of the research will take place in the community, and hybrid working is encouraged. The post is offered full-time or part-time, minimum 0.6 FTE, with a starting date
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departmental and College of Medicine administration to resolve specific needs; disseminates information to fellows and faculty on policies, didactics, and other programmatic issues. Duties Include: Responsible
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strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
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, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals nearly $1.8 billion
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Learning Seminar series Facilitate small and large group didactic education in partnership with a faculty mentor Create, present, and publish scholarly research through collaborative industry and university
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large. This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and
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and observational data from space-borne missions (most notably Kepler and TESS); be proficient in computational astrophysics, astrostatistics, and/or exoplanetary science; participate in Departmental