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. For UK applicants: apply through MIBTP only (https://warwick.ac.uk/fac/cross_fac/mibtp/phd/ ). For non-UK applicants: email Dr Kettles to discuss most suitable program. References: Uehling et al. PLoS
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to revolutionise nanotechnology by combining organic chemistry and polymer science to create materials that respond and adapt to their surroundings. This PhD project focuses on Ostwald ripening, a fundamental
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of realising an optical-pump TeraHertz-probe polarisation-resolved near-field microscope, this PhD research programme will look at combining spintronic THz emitters and near-field photoconductive probes
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits
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Project Overview We are inviting applications for a PhD position focused on the development of porous materials for key challenges in decarbonization and thermal energy storage (TES). This project
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(y.chen.22@bham.ac.uk ). Funding: The project is available through MIBTP funding program. For more details, please see: https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/ychen References: Shropshire
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A fully funded 3.5-year PhD studentship (UK home fees only) is available in the group of Dr Jamie Lewis at the University of Birmingham in the area of synthetic supramolecular chemistry. The project
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parallel expansion in mining to meet this demand is expected. The environmental, economic and social impacts of this global expansion are significant and need to be assessed, so that we do not trade one
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Quantum field theory (QFT) is the framework that describes most quantum phenomena in the universe. One of the greatest open problems in QFT is to give a systematic way to understand strongly interacting QFTs, where non-perturbative features become important. In this project, the student will...
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our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically