217 computional-geometry-algorithm positions at University of Cambridge in United Kingdom
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language processing and graph learning Develop data visualisation tools Working in a cross disciplinary team with economists, computer, environmental, and other scientists This is a diverse and dynamic role, and the
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The UKRI-funded 5-year project, 'Colombo: Layered Histories in the Global South City', selected for funding by the European Research Council under its 'HORIZON' programme, is recruiting to its
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therapeutic strategies targeted to different patient subgroups. The successful candidate will contribute to an expanding program of research investigating the role of immune activation in the progression
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The Finance Transformation Programme is part of a series of change initiatives at Cambridge University, which aim to embrace new ways of working to better support our staff and academic mission
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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a team that integrates molecular biology, low- and high-throughput protein biochemistry along with computational approaches to understand protein substrate specificity at a molecular level. We are
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whose interests range from discovering new cancer treatments, and advancing quantum computing, to evidencing the impact of social media on children’s mental health. “These prestigious awards offer a rare
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is of central importance to the image that CJBS presents. The role holder needs to actively engage with the Schools' clients, students, programme participants and visitors to deliver the best customer
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is supplied by IRIS Software Group Limited and they are defined as a Data Processor under the GDPR. They will only process your data in accordance with our instructions. IRIS can be contacted at: 4th
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https