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as possible thereafter. The Role Drawing on over a decade of formulation data, you will develop machine learning models that link chemical composition and processing parameters to the physical and
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Prof. Andy Cooper FRS, and Dr Gabriella Pizzuto
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Model Development Plan for future in-orbit demonstration. Further information about the Department of Electrical Engineering and Electronics can be found here: The post is part-time at 14 hours per week
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delivery of research proposals in accordance with the Centre¿s social justice methodology; managing ethical review processes; developing and applying creative approaches; qualitative/quantitative data
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a central role in shaping ongoing research, contributing to study design, data interpretation, and dissemination, while supporting and mentoring junior members of the lab. You will have access
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in glaciology, environmental science, computer science, data science, or related discipline that is relevant to the role. The post is available from February 2026 and is fixed term for 24 months
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ecological models using the Oceananigans.jl infrastructure. This is an exciting opportunity to be part of an international collaboration (the Simons Foundation funded Computational Biology in Marine EcoSystems
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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research into health inequalities and data. You will work collaboratively as part of a wider team, with specific responsibility to co-create a series of arts-based engagement activities and events to engage
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the research group of Professor Alex Cowan in the Department of Chemistry and the Stephenson Institute for Renewable Energy you will create an integrated platform with comprehensive data logging, enabling