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helping co-design the study with public contributors from Muslim communities and preparing competitive grant applications. 2) A qualitative study investigating the use of injectable end-of-life symptom
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Integration group led Dr Laura Torrente (www.capi.ceb.cam.ac.uk ). We are looking for different profiles including: - Expertise on designing, building and commissioning flow rigs (including LabView knowledge
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to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able to communicate
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substantial scope for innovation, creativity and scientific judgement. You will work as part of a vibrant interdisciplinary team and in close collaboration with colleagues in both the Rayner and Deane
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fundamental science under the Woolgar QQ. The ideal post holder will have prior experience with acquisition of fMRI and MEG data, strong coding and analysis skills including using multivariate pattern analysis
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to carry out theoretical analyses of the algorithms under study. The ability to implement proof-of-concept algorithms using numerical software is also essential. The role holder will be expected to plan and
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Physics, Cambridge Image Analysis (CIA) Group), clinical practice (Dr Tim Rittman, Clinical Neuroscience) with healthcare innovation (Eastern AHSN) and pharmaceutical industry partners (AstraZeneca). Our
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external contacts. The successful candidate may also be asked to assist in the supervision of student projects, provide instruction, and plan/deliver seminars relating to the research areas of INFORMED-AI
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Python (or Matlab). Expertise in designing and controlling bespoke experimental setups. Expertise in developing behavioural tasks for rodents. A strong track record of research output and achievements