392 computer-security-"https:"-"https:"-"https:"-"https:"-"CUBO" 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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About the job: This post offers an opportunity to join the €8.07 million MOSAIC programme (Multi-disciplinary Ocean Sensing for Adaptive International Conservation), supported by PEACEPLUS and
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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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partners and asset or land owners. This role will involve working closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research
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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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objectives and deadlines To a limited degree, to support the HEU teaching programme, particularly in relation to the Masters programme in Health Economics and Health Policy/Econometrics To support any other
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of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity
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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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. The MHLA programme of work aims to strengthen existing children and young people mental research using a team science approach to define the roles needed for an effective mental health research group
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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