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to support model-based control of Deep Brain Stimulation (DBS) and personalised treatment strategies for Parkinson's disease. Develop and optimise scalable data processing pipelines, including GPU acceleration
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equipment: including TV studio cameras & control room equipment and radio studio equipment. Person Specification Educated to degree level level or equivalent Experience of working in Further Education or
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, and data outputs are robust, version-controlled, and reproducible, adhering to FAIR (Findable, Accessible, Interoperable, Reusable) principles. Disseminate research findings through journal publications
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of technologies/products. • Proven hands-on experimental skills of developing hardware. • Practical experience with optical fibres. • Proficiency in writing instrument control and data analysis software
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
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seeks to better understand current services for people with severe obesity and involves a randomised controlled trial of a new group-based behaviour change intervention (called “PROGROUP”) for people
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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code for experiment control, data acquisition, and data analysis. They will be expected to work effectively with Dr. Smith, collaborators, other group members and contribute to the dissemination
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) Engineering design: Sustainability/net zero/decarbonising Engineering analysis: Materials characterisation and testing Renewable energy: Tidal/wave Robotics and control Nuclear engineering About Daphne Jackson
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randomised controlled treatment trial, High Risk Medulloblastoma, to undertake high quality data management activities related to QoS data and statistical analysis on collected data. You will be based within