499 associate-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role Summary Work within the specified research grant - French Language
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We are seeking highly motivated post-doctoral researchers of high calibre to join our research program working in the area of electronic textiles. The role is suited to candidates from either
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or biology. In this role, you will work closely with Dr. Lynn and other lab members, employing cutting-edge optical imaging tools and computational analyses to determine how spatial and temporal features
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Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar
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We are looking for someone with a PhD in relevant scientific discipline (e.g. Physics, Mechanical Engineering, Biomedical Engineering, Computer Science, Electronic Engineering, Robotics), a proven
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We are seeking a Research Fellow to lead the computational chemistry aspects of a BBSRC-funded collaborative project ‘Unlocking GPCR Signalling Bias: A Multiscale Approach to GPR84 and Beyond
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; Italian literatures and cultures. A comparative or interdisciplinary approach to work in these fields is also welcomed. The Fellow will have associate membership of the Faculty of Medieval and Modern
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to the financial modelling of zero-emission vehicles, fleets, and associated infrastructure, including data analysis, impact assessment, and tool development. It will also involve interpreting and reporting total
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or depth of specialist knowledge in research methods and techniques to work within established research programme Understanding of working with human tissues and the HTA Data analysis and IT skills
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We are seeking a highly motivated and talented post-doctoral researcher to join our research programme in metasurfaces. The position is funded by the three-year Leverhulme Trust Research Project