306 web-programmer-developer-"U"-"Washington-University-in-St" positions at University of London in United Kingdom
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the product development and strategic scaling of the system's capabilities, translating organisational ambition into measurable customer and business outcomes including improved lead conversion, customer
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ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
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strategic goals. The Business Systems Manager will collaborate with various departments and cross-functional teams to develop and manage strategies for the further development and exploitation of systems
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high quality academic programmes, brings benefits to society through its research in the humanities and social sciences, and leverages intellectual connections through public engagement
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ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
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working within a similar customer-based environment and have a willingness to continue to learn and develop. You will be required to work varied shifts, including early mornings, evenings and weekends
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regional leadership in the area. They will support the Unit’s high- performance computing facility–Uganda Medical Informatics Centre(UMIC) project. The post-holder will develop and implement bioinformatics
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students and supervisors, and other stakeholders. They will draft, review and update research degree policies, procedures, online content and communications; prepare committee papers, reports and briefings
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing