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Field
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-disciplinary PhD project aims to provide a clear picture of the landscape of battery manufacturing, waste and end-of-life processing. The project aims are to: Identify waste streams and energy requirements
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-627 Marie Curie Grant Agreement Number 0 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for 1 dynamic and motivated full-time PhD student
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Primary Supervisor - Prof Tracey Chapman Strong interdisciplinary training, within the ARIES Ecology and Biodiversity theme, to equip you with high-in-demand analytical skills in phenotypic and molecular genetic engineering. Scientific Background In all species that lay eggs externally - in...
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Primary Supervisor: Dr Zoja Vukmanovic Scientific background: Layered intrusions represent natural laboratories frozen in time that provide us an opportunity to study how magma cools and differentiates, and how precious metals concentrate to form ore deposits. The ore deposits found in these...
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About The Project Caring for people living with dementia can be emotionally and physically demanding, especially when carers are unfamiliar with the specific challenges of the individuals they support. This research project aims to improve the experience of both carers and residents in...
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Electrical and Electronic Engineering Department, Imperial College London PhD Studentship in Damping of IBR-induced Oscillation Position Summary: Applications are invited for a PhD studentship, to
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with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
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at leading international conferences and publish in top-tier journals. The successful candidate will gain advanced expertise in multi-sensor fusion, signal processing, machine learning, and positioning
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer