197 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" positions at University of Sheffield
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, or the latest computing gear, we’ll make sure you have the resources to succeed. Work with the Best: Team up with industry giants to work on real-world projects that make a difference, gaining experience that
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supporting materials and quote “[S3.5-COM-CChen2] - Your Current Programme – Name”. E.g, “[S3.5-COM-CChen2] - MSc-University of XXX–Chen Chen” in your email subject. About the main supervisor, Dr. Chen: https
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(UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Gastroenterology clinical training programme led by Dr Sampath Kumar (Training
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training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing Professional
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, maximising person centred care) is a research and innovation programme to transform care for people with multiple long term conditions. It represents a partnership between systems engineers, healthcare
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on the systems we maintain Essential Interview Ability to plan and prioritise the maintainability of our systems through things like documentation, knowledge sharing, standardisation, testing and automation
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services for health, maximising person centred care) is a research and innovation programme to transform care for people with multiple long term conditions. It represents a partnership between systems
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Parliament as the locus of representative democracy, under the supervision of Professor Felicity Matthews. Working alongside Professor Matthews, the postholder will undertake a programme of research that
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
support will be provided throughout via an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). The varied
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. These results will be used to improve implant designs, as part of a UKRI funded project that aims to deliver novel validated computational models to predict bone ingrowth in porous orthopaedic implants. The ideal