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are looking for a motivated PhD candidate to join our research team on wetland and wildlife ecology with a focus on understanding how effectively climate buffers in the form of freshwater wetlands, are as a
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
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on testing a set of promising pre-identified catalysts in the existing experimental set-up. Based on your findings, you will optimize the catalytic systems and/or adapt the experimental plant to achieve
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(mobile app) intervention for the prevention and management of performance-related pain among musicians. The app will contain various components including self-monitoring, physical exercises, relaxation
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
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This 3.5 year PhD project is fully funded for home students; studentship is open to Home (UK) applicants only. The successful candidate will receive an annual tax free stipend, set at the UKRI rate
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Autonomy for modular and soft robotics - Reconfigurable morphogenesis, self-assembling robots - Terrain-adaptive locomotion - Embedded sensing and soft actuation Human-robot interaction - Dynamic task
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used to develop networks capable of self-learning and self-optimisation, adapting to real-time changes in traffic and demand. The successful candidate will contribute to designing solutions that optimise
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15th August 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Timber Engineering Apply for this job See advertisement This is NTNU
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doctoral degree (PhD), it is important that you are able to: Work independently and be self-driven and persistent Work in a structured way, set goals and make plans to achieve them Present and discuss your