652 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" Fellowship positions in United Kingdom
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Trust and will work closely together during the project. There will be opportunity for additional training for the successful applicant with our collaborators to develop a wide range of technical
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the programme with support from senior colleagues. You will collaborate on research funding proposals with clinical colleagues and develop your own funding applications for statistical methods research. You will
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. You will conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional
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, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous
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to provide a time-limited period of teaching development and support, so as a result there is no expectation that the post will be extended beyond the advertised period of two years. The person appointed
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. The purpose of post is specifically to provide a time-limited period of teaching development and support, so as a result there is no expectation that the post will be extended beyond the advertised period of
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approaches to investigate how the gene networks that regulate seed development first evolved from a seedless vascular plant. Specifically, this project will test whether seed gene networks are conserved with
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attack surfaces introduced by approximation, and developing a performance-security trade-off framework to guide secure AIoT deployment. About the person: The successful candidate will have, or be close to
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of the Principal Investigator and Director of LISA, with a view to developing LISA's research capacity in AI-augmented spatial analysis. The Fellow is expected to lead the development and application of machine