557 professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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protein metabolism in response to the prehabilitation intervention, although other molecular biology techniques (e.g., ELISA, RT-PCR, Western Blotting) will also be performed. There may also be need for you
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patients with inflammatory arthritis. About the team- You will join an established team, led by Professor Abhishek, whose main areas of research interest include pharmacoepidemiology, rheumatoid arthritis
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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discussion about the position, please contact Dr Yoshishige Tsuchiya (yt2@ecs.soton.ac.uk ). Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We
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Mathematics and/or Institute for Probability, Analysis and Dynamics. Post-holders will be expected to develop their own independent research programme on topics in Pure Mathematics. They will be expected
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, local authorities, and energy stakeholders. We hope you will bring: Proven skill and experience with IoT technologies, sensor integration, or real-time monitoring systems. Skills in data processing
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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and
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Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM