56 parallel-computing-"https:"-"Simons-Foundation" positions at Loughborough University
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leveraging computational biology and artificial intelligence to optimise microbial strain engineering and bioprocess strategies for converting agro-industrial residues into high-value chemicals. The successful
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Loughborough’s Doctoral students, working in any discipline, to participate in a 16-week programme , which will run from w/c 9th March to w/c 29th June 2026 . Successful applicants will spend an average
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selection criteria will be used by academic schools to help them make a decision on your application: https://www.lboro.ac.uk/study/postgraduate/apply/research-applications/studentship-assessment-criteria
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funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition assessment (DIAMOND), a stimulating, high-level European Doctoral programme
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an advantage. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international
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externally-funded programme of research into ‘comparative judgement’ approaches to educational assessment, Loughborough University is seeking to appoint a highly-motivated Research Associate to join the
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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contribution rates. Life assurance. 30 days holiday plus bank holidays and discretionary days office closure. Employee Assistance Programme. Support for CPD and appropriate training. Please note: we do not
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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fast, efficient, and versatile reconfigurable thermal landscapes controlled by light polarisation, power and illumination patterns (https://dx.doi.org/10.1039/C9NR01628G, https://doi.org/10.1103