319 web-programmer-developer-"U"-"Washington-University-in-St" positions at University of London in United Kingdom
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solutions to develop and optimise novel seed treatments - enhancing crop resilience, improving performance, and supporting more sustainable agricultural systems. The postholder will be seconded to Eden
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
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educated to degree level or above or hold equivalent relevant experience, relevant experience of data management in clinical research is required. Essential requirements also include experience of developing
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IT Services, develop functional and non-functional test plans and test scripts for new and existing applications, updating them as those applications are enhanced and upgraded. They will ensure test
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(Maternity Cover) to support teaching on the mentorship programme and the evaluation of the online MSc Sexual and Reproductive Health Policy and Programming (SRHPP) which is co-delivered with the University
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About the Department IT Services is responsible for the provision of all IT-related services to the University. The department develops new IT solutions in collaboration with colleagues from across
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of murine models of high-grade lymphoma with the aim of providing pre-clinical evidence to support the development of metabolic inhibitors as novel treatments for lymphoma, alone or in combination with
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sustainable funding through effective fundraising strategies. Main Responsibilities Develop and sustain relationships with alumni and donors. Assist in organising fundraising activities to achieve ambitious
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics