239 algorithm-development-"Multiple"-"Prof"-"Prof"-"University-of-Wisconsin-Madison" positions at University of Cambridge
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The College is seeking to recruit a strong administrator with previous project coordination experience to facilitate the rollout of a new VR platform developed at the multi-award-winning, Immersive
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. Mentor, coach and empower colleagues to solve problems and develop. Transform policies and procedures into efficient, actionable processes. Champion innovation – automating, standardising, and continuously
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, staff and visitors. Have scope to make and implement suggestions to improve the offering and help to develop the Coffee Bar experience for customers. deliver excellent customer service, maintaining high
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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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of our approach is the innovation of novel methods to investigate genome function. For example, we have recently developed ways to map the binding of nucleic acid-interacting drugs and small molecules
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therapy (Simpson et al. in preparation*). When these local metabolic / immunologic changes happen during pancreatic cancer evolution remains unknown. More importantly, whether these spatial changes can be
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Engineers, working with a wide range of stakeholders across multiple disciplines and institutions. What you will do You'll be working on a diverse range of AI and HPC platforms and infrastructure projects
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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