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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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. 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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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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) 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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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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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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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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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 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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We seek an energetic and enthusiastic individual to act as Group Administrator to the Computational and Biological Learning Group (CBL). CBL is housed within the Information Engineering Division