274 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"Prof" positions at University of Cambridge in United Kingdom
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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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enthusiasm to build on current strengths in maintaining and developing a leading research presence. They will hold a PhD or equivalent postgraduate qualification. Standard professorial duties include teaching
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contract, for somebody who is looking to start their career as a professional rowing coach. The Assistant Rowing Coach will be expected to develop a positive, welcoming and encouraging environment for all
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fundamental research aimed at investigating the mechanisms responsible for cell fate specification and differentiation during petal development using Hibiscus trionum as a model system. The post holder will
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The Tamura Lab for Circuit Physiology of Cognition is based in the Department of Physiology, Development and Neuroscience (PDN) of the University of Cambridge. Why can we easily notice a friend in a
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our talented team. This role offers a fantastic opportunity to join a busy academic department. You'll have the chance to develop your existing broad range of skills, increase your experience across
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screening mammograms with robust clinical metadata. It is currently being used to evaluate commercial AI tools for cancer detection and for predicting cancers that may develop within 3¿5 years following a
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comfortable with minute taking. In addition to some project planning and delivery experience, you will have the ability to carry out background research for team members, have experience of developing processes
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a project aimed at developing more exoelectrogenic cyanobacterial strains. The project involves the creation of large mutant libraries of cyanobacteria and automation of screening for electroactivity
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and quantify tactical and strategic opportunities. Proactively engage in projects, identifying areas for improvement and supporting cost efficiency opportunities. Data Management: Develop and execute