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Research Group: Nanocomposites Project Overview We welcome a highly motivated PhD researcher with a background in chemistry, polymer science, materials science, chemical engineering, or a related discipline
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(BSPP) in the Faculty of Human, Social and Political Science. The start date for this role will be as soon as possible. This is an exciting opportunity to join the Bennett School of Public Policy (BSPP
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through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101312030 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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are excited to work across disciplines and contribute to cutting-edge research at the interface of biology, chemistry, imaging, computation, and AI. Molecular Perturbations: Chemistry Engineering Biology
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This 3.5-year PhD project is fully funded by The Department of Mechanical and Aerospace Engineering; students who are eligible to pay tuition fees at the Home rate are eligible to apply
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catalysis. Computational chemistry allows the design and discovery of new molecules and theoretical understanding. This is especially important when studying the behaviour of sensitive chemicals, like
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
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engineering lies the future of computing and energy harvesting. We are seeking an ambitious researcher to push the limits of the atomic scale, transforming theoretical insights into the building blocks of next
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques