284 computer-science-programming-languages-"St"-"University-of-St"-"St" positions at University of Manchester in United Kingdom
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Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers As an equal
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scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over
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market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid
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research programme in pharmacy practice, workforce, and education. The successful candidate will provide strategic leadership to the Drug Usage and Pharmacy Practice (DUPP) group, secure external research
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on producing a range of biosurfactants and biopolymers for potential application in sustainable vaccine formulations. Overall Purpose of the Job This post requires the PDRA to design and execute a programme of
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with electronics or computer programming is also highly desirable. Successful candidates may be subject to pre-employment screening carried out on our behalf by a third party. The offer of employment
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from across the Challenge program in Europe. They should be confident in presenting the outcomes of our research to consortium members and more widely as well be able to contribute to journal papers and
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Type of award Bursary Managing department School of Arts, Languages and Cultures Value Tuition fees (Home) Specified use Contribution towards tuition fees for a PhD programme in Music. Tenable
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periods spent in Japan to cover accommodation and living costs while on the programme. The Foundation will contribute £1,000 towards the cost of one economy class return air fare between the UK and Japan in
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 36 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating