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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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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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The University of Cambridge is a confederation of Colleges, Faculties and other institutions. This position is in the Faculty of Mathematics, which is associated with the School of Physical Sciences
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The Clinical School Computing Service (CSCS) is looking for an articulate, self-motivated and proactive IT Migration Engineer to join our IT Infrastructure Team. The successful candidate will be
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through the Isaac Science free online platform and through a weekly programme of work and tutorials in our STEM SMART programme (https://www.undergraduate.study.cam.ac.uk/stem-smart ) which will develop a
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point of contact and administrative support for the Management Committee, academic staff, Early Career Researchers and graduate students in carrying out the Centre's programme. The role supports
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successful technology entrepreneurship cluster in Europe. A member of the reception team is often the first point of contact for staff, students and visitors (either in person or on the telephone), and as such
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The Role: The Estates Division is seeking a skilled and proactive Application Specialist to join our Business Services team. This newly created role is central to the support and development of our digital estate, with a particular focus on the Invida CAFM system and other business-critical...
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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 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