181 computer-programmer-"the"-"U"-"UCL"-"O.P"-"Prof"-"FEMTO-ST" positions at University of Sheffield
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the MRC means you can access additional funding for research placements, training opportunities or internships in science policy, science communication and beyond. Further information on the programme and
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at: application/interview) Ability to work in a team and to collaborate effectively with other researchers (assessed at: application/interview) Ability to assess and organise resources, and plan and progress work
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Overview Our postgraduate research student community plays a central role in the research life of the University. PGR students undertake their own programme of research, supervised by an academic
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responsibilities Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Conduct and disseminate innovative research
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research objectives, initiate and implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research proposals for funding
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vision (computer sight) with machining process data (forces, vibrations) to develop an intelligent system that can accurately identify why a tool is wearing out (e.g., abrasion, fracture) and when it's
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programme, you will have the opportunity to gain real world experience of the technical and non-technical challenges associated with decarbonisation of heat through placements with South Yorkshire Mayoral
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transfer office and other members of the team to accelerate the future impact of the research. Initiate and implement the programme of research as set out in the funding proposal. This may include managing
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research project ‘Perceptual bias and the evolution of organismal communication signals’ as a Research Associate. The project willmake use of recent advances in computational neuroscience, machine learning
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. These results will be used to improve implant designs, as part of a UKRI funded project that aims to deliver novel validated computational models to predict bone ingrowth in porous orthopaedic implants. The ideal