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an international reputation in AI and Machine Learning, Cyber Security, 5G and Next Generation Communication Systems and Advanced Materials Innovation. The teaching is organised at a School level and you will join
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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to our school’s educational offerings is a key expectation, including how we respond to the growth of machine learning solutions in our teaching provision. We are committed to diversity and inclusivity and
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pension scheme Free car parking (if available) Life assurance x3 salary A health cash back scheme Cycle to work scheme Wellbeing programme including free yoga and bootcamp sessions To learn more about this
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methods based on machine learning, and developing and applying simulation methods and models for equilibrium and nonequilibrium molecular dynamics simulations. You will model meta-lactamases enzymes
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of Management to develop teaching programmes, and teach and support learning; Use a range of delivery techniques to enthuse and engage students; Will have evidence of excellent teaching identified by peer review
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. The successful candidate will develop advanced skills in multi-modal sensor fusion, signal processing, machine learning, and integrity assessment, as well as transferable abilities in critical thinking, project
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The Role As a researcher in machine learning, you will work on the project “Advanced chemical data analysis software for Fast CBRN (Chemical, Biological, Radiological, & Nuclear material) detection and
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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& National Security), underpinned by cross-cutting Fundamental Research. In the Environment & Sustainability Grand Challenge, we will develop machine learning and AI as a transformative technology to benefit