585 web-programmer-developer-"https:"-"https:"-"University-of-Cambridge" PhD positions in United Kingdom
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, by the end of the project, the student will be able to initiate and plan scientific studies, so will be provided with guided opportunities to develop their own ideas, develop and test hypotheses and
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skills, conference participation, and engagement with UKRI and industry partners developing marine biorefineries. Eligibility We seek a motivated candidate with at least an upper second-class degree (or
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position in a ‘landscape of fear’. Objective 3: Develop spatially explicit models to predict how nest footprints combine to generate landscape-level variation in microclimate, carbon flux, and plant
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, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
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. Richard Dickens and Dr Wenchao Jin This studentship is supported by the ESRC Centre for Digital Futures at Work . You will study within the Economics PhD programme at the University of Sussex Business
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partnership. In YBDTP you'll benefit from a regional doctoral training programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in
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also be involved in a fixed number of teaching hours during your time with us. In year one, alongside your specific PhD research modules, you’ll complete a short teacher training programme by
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Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures
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methods to improve systems, and ML research develops such methods. Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of
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. The framework consists of three key technical innovations. First, a multimodal encoder will be developed to project heterogeneous network data (e.g., time-series, sequences, graphs) into a token-like embedding