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Research Studentship in Engineering 3.5-year D.Phil. studentship Project: Electronic-free Mechanical Oscillators for Fast Locomotion in Soft Robots Supervisors: Prof Antonio Elia Forte Soft robots
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Computer Science or a related field. Strong motivation to conduct groundbreaking AI research that make a positive impact in the real-world. Excellent communication skills in English, both speaking and writing
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Programme (NSIP). The position is full-time and fixed-term until 31 March 2027. This interdisciplinary project is conducted in collaboration with the Department of Plant Sciences and other industry partners
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the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following link -https://www.exeter.ac.uk/study/funding/award/?id=5734 Funding details
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that benefit fitness in the opposite sex. You will receive outstanding interdisciplinary training in computational biology, experimental genetics, and molecular biology. The supervisory team offers expertise
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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is critical for a wide variety of engineering and environmental applications, remains unexplored. You will join a team of researchers that experimentally quantify the flow-physics of fundamental
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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problems? The Scalable computing group are focused on applying Machine Learning/AI and visualisation to real-world problems – highlighted by the fact that the National Innovation Centre for Data is a spin
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A fully funded 3-year PhD studentship is available from 1st October 2025 in the School of Computer Science and Engineering at Bangor University. The project investigates viral infection in real-time