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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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into commercial R&D, and participate in government and industry working groups. Impact and Career Development This project aligns with EPSRC and University strategic priorities in energy, decarbonisation, and AI
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of the position. Equivalent research experience will also be considered. You should have familiarity in handling large and complex datasets and skilled in programming languages such as R or Python. The ideal
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-months during the whole period) at Port Sunlight, supervised by Steph Edwards and Andy Peers, during which time they will be able to access world-leading facilities across the Port Sunlight R&D and
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also undertake industrial placement and mentorship at BTS, where they will interact with practitioners, gain insights into commercial R&D, and participate in government and industry working groups
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collecting and systematizing a digital corpus of sources from Nordic countries; conducting a range of research tasks using R on this corpus; assist with organization of seminars and a workshop; and will have
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Research theme: Nuclear thermal-hydraulics How many positions: 1 How to apply:uom.link/pgr-apply-2425 This 3.5 year project is co-funded by EDF UK R&D and The University of Manchester. A full
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communication, and collaborative problem-solving capabilities, which are essential for success in innovation-driven environments. This training prepares graduates for impactful roles in semiconductor R&D
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delivers high-impact teaching, research, and industrial collaborations. The project sponsor Dynex Semiconductor is a leading international high power semiconductor business, and has a manufacturing and R&D