15 computational-biology-physics-training PhD positions at The University of Manchester
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, living expenses at the UKRI rates and travels and project costs for 3.5 years. Additional support to cover training and travels to collaborating partners (Arxada, ISIS Neutron Facility) is also available
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in synthetic organic chemistry are particularly encouraged to apply. Any experience in biochemistry will be beneficial, however full training will be provided for the necessary molecular biology and
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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. Training and Facilities The successful candidate will benefit from access to world-class facilities at the National Graphene Institute (NGI) and the Henry Royce Institute (HRI), including advanced microscopy
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Transactions 54, 10574-1058 (2025); Applied Physics Letters 126,11110 (2025). Prior experience in computational chemistry is desirable but not necessary. Applicants should have, or expect to achieve, at least a
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of wider research effort to achieve a clear understanding of this century-old scientific challenge, transforming it from a persistent engineering problem into a well-understood physical phenomenon. Its
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engineering applications. What you will gain Advanced training in cutting-edge characterisation techniques. Deep expertise in materials science and microstructural analysis. Collaboration with Cummins
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced