132 parallel-computing-numerical-methods positions at University of London in United Kingdom
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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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Television School, Pinewood, and the University of Surrey. This vital role works across the University’s Research and Innovation team and the StoryFutures Business unit to drive an ambitious R&D programme to
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. The main responsibilities of the post are to support the Employer Engagement and Communications Manager in developing the annual Employer Engagement programme, forging strategically important relationships
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will compare the development of annelids and molluscs and combine single-cell transcriptomics with classic embryological approaches and state-of-the-art computational methods. The findings from
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and leading journals, and to undergo additional methods training. About You Educated to doctoral level in political science or a cognate discipline, you will be proficient in quantitative research
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to the set-up and conduct of a funded research project aiming to co-create a national weight management programme in Thailand. The duties of the post will involve coordinating and writing ethical approval
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ETL/ELT methods and creative techniques to build accurate and scalable data models. The role holder will champion the adoption of BI tools across the business through training and user support. In
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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knowledge of the SITS student records system, including analysis of data. Presentation skills and ability to prioritise own workload is essential. The successful candidate will be numerate and good at multi