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be awarded a master’s degree in any of the following disciplines: Chemical Engineering, Physics, Mechanical Engineering, Energy Engineering, Environmental Engineering, Computer Science, or other
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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‘Campus’, please select ‘Loughborough’ and select the ‘Programme’ as ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number ‘FP-HZ-2025’ in your application under
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computational scientific support and funding to attend conferences, preparing the student for any career of their choice. For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry
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for career development in environmental science. For further information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b15-a-multi-scale-quantitative
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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https://www.lifearc.org/project/lifearc-translational-centres-for-rare-diseases/ . This is an exciting opportunity to collaborate with computational and wet-lab scientists at the forefront of pioneering
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materials. What you would be doing Main Duties: Process ceramics with aligned microstructures. Characterise the microstructure and residual stresses in the samples. Ensure the validity and reliability of data
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the above 'Apply' button. Under programme name, select ‘School of Social Sciences and Humanities’. Please quote the advertised reference number, ‘FCDT-26-LU2’, in your application. This PhD is being
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Attributes Experience working with quantitative and textual data, writing computer code, and/or using existing Digital Humanities tools. The successful candidate will be supported to fill gaps in their Digital