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Elena Besley to work on the “Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)” Programme Grant. The NEED2D project funds a team of UK scientists at Queen
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candidate is also expected to assist with the general programme of work that is conducted in the Centre. Overall, the icing test facilities and industrial relationships are unique within the UK and offer a
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the border counties of Ireland. Funded through the PEACEPLUS Programme and led by Atlantic Technological University in partnership with Ulster University, Queen’s University Belfast and Catalyst
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Experiments. Previous experience on statistics, programming, and fieldwork would be desirable, although non-essential. It is essential that the candidate demonstrate willingness to develop knowledge and
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Clinical Research Fellow (BRC Arthritis) - Department of Inflammation and Ageing - 100873 - Clinical
. The Arthritis and Sarcopaenia and multimorbidity and Infection and Acute Care themes are led by researchers in the institute. The BRC supports a 5 year programme to better understand a range of debilitating
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adaptive platform designs. This will include contracting and programme management, delivery of work to time and target, dissemination of findings to academic and public audiences, and reporting to funders
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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, computational mechanics). Evidence of scientific programming and good software/reproducibility practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale
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. Lead and support high-quality publications to disseminate the applied research outcomes. ii. Plan, organize, and carry out experiments and trials in the labs to achieve the objectives iii. Manage and
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the ability to act on their own initiative, excellent quantitative skills, including programming (e.g., Matlab and R) for the design and analysis of experiments. Experience in using computational modelling