461 development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" PhD positions in United Kingdom
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advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus on: Data Upscaling : Using ML U
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fees will be paid. We expect the stipend to increase each year. The start date is October 2026. This fully funded PhD project will merge the latest tools from experimental directed evolution with
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The development of safe, high-energy solid-state batteries is a key UK national priority, but it faces a critical bottleneck: the microscopic flaws that cause catastrophic failure (such as dendrite
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project, in collaboration with Syngenta, will develop catalytic and modular synthetic routes to an underexplored class of fluorinated three-dimensional building blocks with strong potential for application
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. Objectives The aim of this project is to circumvent these limitations and develop sustainable transition-metal-free substitution reactions through unconventional modes of catalysis. Building upon our previous
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control performance and efficiency. This PhD project focuses on data-driven analysis of confined liquids structure, informed by total neutron scattering. The emphasis is on developing new analysis
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of
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, maintenance logistics, and weather-related downtime for offshore wind assets. Drawing on climate projections, metocean datasets, and offshore O&M modelling techniques, the research will develop data-informed
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overview: This PhD research opportunity focuses on developing practical decision-support strategies for managing the end-of-life (EoL) of diverse onshore wind portfolios, addressing the growing challenge