594 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" Fellowship positions in United Kingdom
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international research partners in Africa and Asia. We leverage our state-of-the-art core facilities (flow cytometry, microscopy, proteomics and structural biology) to address important problems and find
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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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, Computer Science, or a closely related field. You should have a strong track record in high-quality research, particularly in areas such as local energy and flexibility markets, blockchain applications, and
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the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy
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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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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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political science and human geography to explain how authoritarian ideas, institutions, technologies, and policies spread through the interaction of local, national, and transnational actors. The project
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of Electronics and Computer Science. We are commited to improving equality for women in science and have been successful in achieving an Athena SWAN silver award in 2025. We give full consideration to applicants
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will have access to state-of-the-art facilities including the 14CHRONO Centre and the Institute for Heritage and Environmental Science at QUB. Successful applicants will have responsibilities
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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