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the ‘Finance’ section of the application. To avoid delays in processing your application, please ensure that you submit the minimum supporting documents , including a copy of your passport. The following
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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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and/or computer-based simulations, and a formal dissertation-style report. We are seeking to increase the diversity within our community and would particularly encourage applicants from underrepresented
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of Oxford. Unpaired electron spins are ubiquitous in materials and devices for optoelectronics and solar energy technology and play a crucial role in the fundamental photophysical processes at the basis
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processes. Objective 2: Develop methods to measure and assess interoperability, helping identify where and why issues arise. Objective 3: Create solutions that address interoperability challenges and meet
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inequalities shape carers’ lives using qualitative and creative methods (e.g. Theatre of the Oppressed, or others). 2) To support the co-production process across our team and partner organisations (e.g. Black
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encourage applications from underrepresented groups in STEM. How to apply (note there are 2 elements to the process): Please apply though the official University process. Instructions for applying through
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to applicants who are eligible for UK fee status (see https://www.lancaster.ac.uk/study/fees-and-funding/fee-status/ for further details). How to apply (there are 2 elements to the process): Please apply though
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fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD