235 algorithm-development-"Multiple"-"Simons-Foundation" positions at University of Cambridge
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Manager, Hard Services Manager, and Soft Services Manager, while helping to develop and manage our CAFM system (TABs) and other operational tools. The role will be an essential part of the Works team
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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contribute to policy development Ideal Candidate: Experienced in governance or membership administration Skilled in project management and communication Confident using Microsoft Office and CRM systems
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management of complex relationships and projects, particularly those focused on global biodiversity and development challenges. As a key member of WCMC’s Policy team, the successful candidate will be
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, visitors and conference guests. operation. This represents an excellent opportunity for someone wanting to grow and develop as a Chef, working alongside an experienced and professional team. The catering
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to deepen our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars-regenerative medicine, biomaterial
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savings and discounts • Cycle to Work scheme • Training and development opportunities • Free parking may be available subject to capacity • Access to University Card with subsidised travel on U
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savings and discounts • Cycle to Work scheme • Training and development opportunities • Free parking may be available subject to capacity • Access to University Card with subsidised travel on U
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) at the University of Cambridge. This role is part of a new and exciting initiative to develop the UK SKA Regional Centre, (UKSRC: www.uksrc.org ) for the Square Kilometre Array Observatory (SKAO: www.skao.int
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holder will work on a project to develop a 3D in vitro model of the gastrointestinal tract. Physiologically relevant, multi-cellular models of gut are necessary to accurately model disease. We propose