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The Role and Department The successful candidate for this Research Associate position will join the Department of Engineering at Durham University. This is a unique opportunity to work at the
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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(CRIS) tools which enable the assembly of data from patients receiving mental healthcare in UK NHS mental health trusts. The research programme is led by Dr Emanuele Osimo (Clinical Lecturer in Psychiatry
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and lectures Support in the planning and organisation of meetings, conferences, symposia and workshops Collaboration in the development of research projects and the acquisition of third-party funding
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: Contact Name: Dr Atta Naqvi Contact Job Title: Lecturer Contact Email Address: a.a.naqvi@reading.ac.uk The University is committed to having a diverse and inclusive workforce, supports the gender equality
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for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses. It is
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(Department of Chemical Engineering, Waterloo Institute for Nanotechnology). Program Details: UM6P will be the administrative body for the program, where candidates will apply to the UM6P Postdoctoral Program
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supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning
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that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology, Society', as well as a number of course formats for
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data