79 parallel-computing-numerical-methods-"https:" positions at Loughborough University
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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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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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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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two-page research proposal based on the project description outlining how you would approach the project and what methods you would use. Under programme name, please select 'Architecture, Building and
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PhD in Mathematics and be interested in conducting research on perturbation theory for dynamical systems. The role involves rigorous mathematical analysis complemented by supporting numerical
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minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – UKRI
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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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enthusiastically and collaboratively as part of our vibrant graphics team. Alongside proven expertise in the subject, we are seeking applicants with specialist knowledge of design thinking, research methods
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are the main service points for all Mathematics, Physics, Computer Science, Chemistry, Natural Science and Foundation students and the Maths Learning and Support Centre (MLSC). The role holder will work from
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and