466 development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" PhD positions in United Kingdom
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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for the role holder as outlined in the job description, and highlight any expertise relevant to the project. Interviews are provisionally scheduled for mid-June. As part of our commitment to career development
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Asia (SEA), focusing on Manila (Philippines) and Ho Chi Minh City (Vietnam). This position will be based at the School of Engineering at Newcastle University, focusing on developing models to predict AMR
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develop physics‑informed neural surrogates to support real‑time digital‑twin CFD for offshore wind turbines. Key objectives include: Designing PINN and operator‑learning models that enforce incompressible
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project. The potential to work effectively and inclusively with a diverse team of people The potential to take initiative and manage a dynamic and complex workload. The potential to develop expertise in new
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this research project. The potential to work effectively and inclusively with a diverse team of people The potential to take initiative and manage a dynamic and complex workload. The potential to develop
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, many current UV-filter ingredients raise concerns around safety and ecological impact. This PhD project addresses this urgent need by developing bio-inspired sunscreens, drawing on nature’s own solutions
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited
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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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sustainable chemical and biocatalytic process development. Vision We are seeking a motivated PhD student to develop a strong experimental understanding of enzyme selectivity when processing mixed biomass