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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
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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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development of compelling funding cases and bespoke proposals for leading philanthropic trusts and foundations. Whether supporting healthcare innovation, social science, or breakthrough discovery, your work
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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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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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of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Education: An excellent first degree in computer science, engineering or a closely related field Skills and
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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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. This role offers a rare opportunity to contribute to cancer interception science at the frontier of personalised prevention, with strong translational potential. We are seeking a talented and motivated
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The Precision Breast Cancer Institute (PBCI) has a vacancy for a motivated Biosample Assistant. The PBCI is a purpose-built research facility adjacent to the Cambridge Breast Unit (CBU) at Cambridge University Hospital (CUH). It is staffed by a multi-disciplinary team, including oncologists,...
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atmospheric science, computational mathematics and physics. Experience with the Unified Model or atmospheric modelling is highly desirable but not essential. Experience with radiative transfer models