196 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through
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and senior members.” “Like our founders, we want to transform the College and, through it, the lives of the people who come to learn, to teach and to do research. And through them to change society for
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Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill
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are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information For further information. please contact Professor Gordon Brown, email Gordon.brown
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research. The successful applicant will possess a relevant PhD or equivalent qualification/experience in a relevant field of study (e.g. mathematics, physics, statistics data science, AI, machine learning
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operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process
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/September 2026 start, 1 post for February 2027 start)¿ will primarily undertake small group teaching of student doctors in years 1 and 2 of the MBChB curriculum, including case-based learning and teaching of
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on exploring what works and what doesn’t - in the care of people at the end of life. Learn more about the project here: NIHR Award Details. The study is led by Associate Professor Susie Pearce, who will also be