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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
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) programme (https://www.ccge.medschl.cam.ac.uk/research-studies/active-programmes-studies/cancer-data-driven-detection-cd3-programme ), and the Certain about Uncertainty programme (https://wellcome.org
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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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support to one of the research groups within the Computational and Biological Learning Lab of the Information Engineering Division. Educated to HND/HNC level or equivalent level of experience, you will be
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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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. 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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and an interest in and familiarity with computational protein engineering approaches is essential. Hands-on experience in computational protein design and engineering is desirable. The ability to work
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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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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone