112 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" positions at University of London
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
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comprehensive network refresh programme to modernise and enhance its IT infrastructure. This strategic initiative will improve performance, security, and resilience across the organisation, supporting innovative
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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support to advance the objectives and development of the research programme investigating a dual origin for pituitary gonadotrophs and its relevance to the reproductive function in health and disease. About
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learning. List A List B Fundamentals of Medical Sciences Pharmacology Pathology Microbiology The joint programme is a highly regarded and successful programme based in Nanchang, China that started in 2013
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at the intersection of inflammation biology, therapeutic development, and precision medicine, contributing to projects aimed at elucidating pathogenic mechanisms and identifying druggable targets. The programme
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programme. In addition, this role will provide: Training in genomics and pathogen sequencing Opportunities to collaborate with academic and governmental partners Experience working within an interdisciplinary
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pass mark requirements. The successful applicant will be willing to undertake ICAEW training sessions and prepare students for excellent outcomes. As Deputy Programme Director, you will play a key role
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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AI with large-scale datasets, the post holder will drive biological discovery. The work involves developing sophisticated frameworks to bridge the gap between computational frameworks and clinical