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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more
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subject who have the ability to lead an exciting, innovative and fundable research programme. The applicant would typically have at least 3 years of post-doctoral experience and may already have experience
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About the division/school: The Mastercard Foundation Climate Resilience and Sustainability Collaborative Program responds to the climate crisis in Africa by advancing relevant scholarship, curricula
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working directly with stakeholders, observing the outcomes of your work first-hand, and collaborating with different disciplines on shared goals, this is the ideal role for you. Our technology stack is
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possible extension subject to funding). The group works at the interface of clinical and laboratory science, aiming to better understand and develop novel treatments for neurological disorders. In particular
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looking to develop postgraduate teaching skills. The Department of Sociology is part of a joint undergraduate degree programme in Human, Social and Political Sciences (HSPS) and also has a vibrant MPhil and
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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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University of Cambridge About us Contact us Job Opportunities Jobs Applying for a job My applications Right to work What we can offer Living in Cambridge Temporary work Work experience Volunteering Page not found This page cannot be displayed. If you are returning to a previously accessed job...
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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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. 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