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- Conduct a systematic review of worker-focused design practices and collect illustrative cases from industry and policy. Phase 2: Comparative Analysis - Apply multiple analytical perspectives to critically
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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This PhD studentship aims to transform how exercise rehabilitation is delivered for working-age adults living with multiple long-term conditions (MLTCs). Partnering with Chiron AI, an NHS-compliant
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temporal and dynamic relationships between plasma levels and target analytes in exhaled condensed breath and in interstitial fluid. Research field: wearable technology, biosensors, electroanalysis, hormonal
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of computational chemistry is desirable. Experience in analytical techniques is desirable. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will
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autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project covers the aspects of sensing, detection and classification in radar-based perception. Key
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interactions, give rise to a complex macroscopic behavior. They are described by nonlinear systems, which pose many analytical challenges. Tasks: scientific research on the analysis and simulation of nonlinear
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for research, and the ability to think and work independently. Excellent Analytical skills and strong verbal and written communication skills are also essential requirements. A Masters qualification may not be
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-specific and inter-specific interactions, give rise to a complex macroscopic behavior. They are described by nonlinear systems, which pose many analytical challenges. Tasks: scientific research
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, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis). Analytical thinking and enthusiasm for interdisciplinary research. Ability to work independently and as part of a