184 algorithm-development-"Multiple"-"Embry-Riddle-Aeronautical-University" positions at University of Manchester
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collaboration between Dr Tom McDonald at the University of Manchester and Prof Nick Turner at the University of Sheffield. The goal of this 18-month project is to develop asymmetric flow field-flow fractionation
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The Department of Materials and the Henry Royce Institute at the University of Manchester are seeking to appoint a Research Associate to join an EPSRC-funded project focused on developing advanced
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recycling and repair, automotive plastics, medical devices, thermomechanophores and engineering plastics. The team develops diverse research impact in polymer synthesis, functional materials, degradable multi
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power systems – specifically voltage sourced converter based HVDC. The work will involve developing and analysing models of VSC-HVDC, their associated controls, and network connection, in PSCAD and Matlab
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working opportunities and a commitment to flexible working. Access to leading wellbeing and fitness services, including on-campus facilities. Development opportunities tailored to your growth and interests
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Studies Archaeology Architecture Art History and Visual Studies Arts Management and Cultural Practices Business and Management Chinese Studies Classics and Ancient History Criminology Development Policy and
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At Manchester, we are committed to supporting the career development of Teaching and Scholarship academics and to ensuring parity of esteem for teaching alongside research. The Faculty of Humanities
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Holdings) The University of Manchester and Concretene are looking to recruit a specialist in cement and concrete technology to undertake this 21-month project which has an overall aim of developing
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for pursuing high quality research, both theoretical and applied, across all areas of macroeconomics, microeconomics and econometrics, including financial, environmental, and development economics. Building
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is to develop and apply advanced machine learning techniques to automate and accelerate the analysis of large-scale cardiac imaging datasets. The work will involve building deep learning pipelines