41 computer-programmer-"https:"-"U"-"FEMTO-ST"-"https:" positions at University of Leeds
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, Food Science, Computer Science or a closely allied discipline; a background in techno-economic modelling and research experience in food or bioprocess design. You will have a proven ability to work well
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or cross-disciplinary fields such as digital sociology, computational social science, epidemiological approaches to social policy and / or the use of artificial intelligence and data science methods in
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domain through peer reviewed publications. You will have a PhD (or have submitted your thesis before taking up the role) in the field of Physics or Atmospheric, Ocean or Climate Science, or Computing and
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to organisational design and development and you will advocate good change management practice across projects and programmes. You will lead your own portfolio of change activities and work collaboratively with
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experienced teacher with a postgraduate degree? As a Teaching Fellow, you will provide effective and innovative teaching across all levels of undergraduate and taught postgraduate programmes and across a range
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team in the School of Education to contribute research-led teaching expertise to our portfolio of modules in this area and take a significant role in the development of new programmes. In addition
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of the NIHR Communications Strategy, including overall NIHR communications planning, monitoring and evaluation, and the creation and delivery of a NIHR audience plan. You will be a senior communications
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iterations built into the project plan. Proposals are invited for LITE Accelerator Fellowships that support the University of Leeds student education priorities. As well as carrying out your project, you will
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of the Faculty’s portfolio of student education programmes, lead on the Faculty’s recruitment and educational engagement strategies and deliver the Faculty’s learning and teaching strategic objectives in providing a
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inequalities which arise from economic policies. You will have the opportunity to work with a multidisciplinary team of geographers, public health experts and policy partners to develop computational models and