725 programming-"Multiple"-"U"-"Prof"-"U.S"-"O.P"-"Humboldt-Stiftung-Foundation" positions in United Kingdom
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deliverables that have a specific focus on utilising multiple master and auxiliary data sets. The Senior Data Analyst will be essential in ensuring that complex and sensitive data challenges are understood
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. This is a full time role, fixed term until end July 2026, hybrid working available with minimum 3 days on campus. Purpose of the Role: You will work across all aspects of programme administration, including
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: Successful candidates will be expected to complete a six-week training course, entitled ‘The New Analyst Programme (NAP)’. Essential criteria Demonstrated ability of advanced research skills or practical
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to the last three years of the Times Higher Education’s University Impact Rankings, with multiple accolades for teaching quality, inclusion, contribution to the community, and environmental sustainability
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career development initiatives. Planning and organising skills are essential, as the post holder will be expected to effectively plan and organise multiple recruitment campaigns, academic promotion
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programme of research, teaching and clinical practice is embedded across all SLCPS departments. About the role We are looking for an ambitious Programme Manager with extensive experience of new business
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, and experience analysing large volumes of immunological data from multiple assays is also essential. You will be proficient with the programming language R, or a related programming language such as
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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affected by structural inequality in higher education. Experience of leading a team to deliver projects or events. Experience of leading a programme or project to change the way people behave, think or act
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic