24 programming-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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, computational fluid dynamics of the nozzles, additive manufacturing robot programming through slicer and characterisation of the deposits through EBSD, TKD and TEM. The Centre of Excellence in Coatings and
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research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such will not be eligible. *Most applicants will be expected
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their skills outside PhD study, those who currently hold a research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such
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have a positive attitude. Working with academics, researchers and PhD students in managing and conducting research activities across the programme, you should have experience of working collaboratively
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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cancer: establishing mechanisms of adaptation to advance optimisation and stratification”. You will be expected to plan and conduct work using wet-lab approaches and methodologies and will be responsible
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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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our School, the Institute for Name-Studies and working here. We are committed to a Strategic Delivery Plan for Equality, Diversity and Inclusion (EDI) and we warmly welcome applications from under
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We are seeking a highly motivated and skilled Research Associate/Fellow to join an innovative translational research programme focused on childhood brain cancer. Based at the University
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candidate will be a veterinary surgeon, with a PhD either completed, or close to completion, have expertise in Python programming, simulation modelling, and data analysis, ideally with experience in