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analytic codes to investigate the benefits and harms of medications. Candidates must have a doctoral degree (or be within 3 months of anticipated completion of a PhD) in medical statistics or epidemiology
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publications and/or dissertation or equivalent evidence of expertise and completed research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python
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research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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two-photon calcium imaging and/or Neuropixels electrophysiology. A strong background in analytical and/or statistical analysis, along with proficient programming and coding skills, is essential
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to include: Conducting, coding, and analysing key informant interviews focused on justice system performance and confidence Disseminating, processing, and analysing key informant surveys focused on justice
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by building on existing concepts. The post-holder will aid with the design, development, and maintenance of the research group’s computing infrastructure for data and code, establishing and documenting
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, charging codes and standards for EVs and distributed energy systems Experience of undertaking high quality research in an academic environment Experience of working with the public and/or private sector
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Sponsorship Queries: This role has been assigned an eligible SOC code, and meets the salary requirements for Skilled Worker Sponsorship if full time. Please consult our Skilled Worker Visa information page
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Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive. It’s important to us