353 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Cambridge in United Kingdom
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the Further Information document Further information on the Faculty of History's PhD programme can be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/hihipdhis and https
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Applications are invited from senior academics working in any branch of the mathematical sciences for the NM Rothschild Professorship of Mathematical Sciences held in conjunction with
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Black British identities. At the project's heart is a Community Panel who will guide, shape and curate a programme of activities, events, exhibitions and other outputs. CUL is also collaborating with
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a materials engineering perspective: energy systems, advanced manufacturing and materials, computational and data-driven engineering, and robotics. The Department of Engineering is one of the few
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applicants Access and outreach Graduate study How to apply Graduate Fees and Funding Graduate Accommodation Graduation Student Hub Research Fellows Research opportunities The Silk Roads Programme Library
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including a proposed MSt in Data Science and a potential apprenticeship programme. You will work closely with Dr Ali Al-Sherbaz, Academic Director for Digital Skills, to grow and sustain a dynamic portfolio
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The Maxwell Centre, hosted by the Cavendish Laboratory, is the hub for academia-industry interactions. It serves several departments across the Schools of Physical Sciences and Technology, bringing
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, Yours Cambridge" campaign, we're entering an exciting new chapter of growth and impact. We are looking to expand the Physical Sciences fundraising team from two to three Associate Directors of Development
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-TIC. The role will facilitate cutting-edge scientific studies by providing expertise in biostatistics and informatics, guiding clinical investigators in research methods and contributing to the work
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. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate