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statistical and machine learning methods, particularly for high-dimensional or longitudinal data. Demonstrable experience in research software development using R or Python and a track record of contributing
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD examines the historical and contemporary development of Donegal Yarns, one of the last
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with drive and ambition, with a commitment to studying and continuing professional development. Excellent numerical and communication skills are essential for this role. In support of our commitment
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Details Evolved resistance to the chemicals that we use to manage pests such as insects, fungal pathogens and weeds is a global threat to health and food security. We study the evolution of resistance
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development opportunities which best meet the needs of the placement areas and learners on placement. Contribute to the preparation and on-going development of practice assessors and practice supervisors
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finance systems and services across UEL, improving user experience, financial control and processing efficiency. You will: Lead the ownership and ongoing development of Unit4ERPx, promoting best practice
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. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical studies of aluminium precipitate evolution
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, please visit our website at https://www.cruk.cam.ac.uk/research-groups/gilbertson-group/ Project details The central nervous system (CNS) represents a uniquely regulated immune environment that changes
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constructive feedback, participate in assessment, and support students’ academic and pastoral development. You will also contribute, as appropriate to your fraction, to curriculum development, programme
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To find out more about this role, including details of how to apply, please visit quoting reference 7990/1 https://plusportal.perrettlaver.com/VacancyDetail/90f9745c-253c-69a7-4d92-3a1fa2a0e672 Proud of our