59 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at The University of Manchester
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for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme
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for the UK bioeconomy. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real-world skills to apply
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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clinical applications. This PhD studentship will develop next-generation polymer drug delivery implants designed to form in situ and enable tuneable release pathways. By controlling polymer architecture
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motivated students, and EPR/MOF experts. As part of the project, the student will receive training in EPR, NMR, XRD, XPS, TEM. The PhD programme incorporates strong career development elements enabling
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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solute retention, remains insufficiently understood. This project addresses that gap by leveraging advanced microscopy to study microstructural evolution during thermomechanical processing, aiming
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, clinically translatable biomaterials. Animal by-products from the food industry are an abundant yet largely untapped source of collagen and extracellular matrix (ECM), offering a unique opportunity to develop
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data