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workflows and contribute to building UK capability in an important advanced reactor area. The ideal candidate will enjoy computational modelling and quantitative problem‑solving, with a strong foundation in
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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of impacts of climate extremes in Europe, from public health to societal perspectives and agricultural impacts, and will have access to a rich program of training activities and research exchanges
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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MU in Brno and join us! We are passionate plant biologists at CEITEC looking for MSCA PhD Candidate of Cell-cycle regulation of DNA repair About this position: Marie Curie-funded PhD programme starting
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD...
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, evaluated, and governed. Your immediate leader will be the Head of Department. Duties of the position Participate in the mandatory PhD research education program Conduct independent, high-quality research and
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requirements for admission to the faculty's Doctoral Programme You must have strong experimental background in synthesis and functionalization of nanoparticles via bottom-up approaches or synthesis and
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental