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simulate maternal cardiovascular response Data fusion and integration of heterogeneous datasets from wearables and hospitals A Collaborative, Interdisciplinary Environment: The position is based in
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responsibility to ensure that all employees are eligible to live and work in the UK.
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interaction (FSI) and dynamic response of seal rings under real-world conditions. Collaborate with the Leonardo Centre for Tribology: Work with top researchers on experimental and modelling techniques. Why
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virtual reality (VR) Human-Robot Interaction (HRI) scenario. The models’ measure of action legibility will be evaluated against human response times of user confirmations in a variety of scenarios, using
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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post-mortem tissue analysis to validate findings in a clinically relevant context. The successful candidate will benefit from a multidisciplinary environment, combining Dr Fulton’s expertise in brain
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Proteins are key biomarkers, indicative of normal biological or pathogenic processes and responses to intervention. Identification and quantification of such molecules in biological fluids is
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of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements
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apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to the project title
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possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To apply: send covering letter, CV and academic transcripts by email to