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Field
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and programmable biomaterial synthesis. The ability to program the behaviour of biomolecular chemistry is foundational for developing new biotechnology applications. Redox-sensitive molecules are a
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
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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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Deadline extended: 30 October 2025 (originally 29 September 2025) A fully funded 3-year PhD is available in the School of Computer Science and Engineering (SCSE), Bangor University. The project will
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click the above 'Apply' button, make an account, and submit an application via the university online admissions portal. This link is unique to the MIBTP programme; please do not use any other link
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University. How to Apply: All applications should be made online via the above ‘Apply’ button. Under programme name, select ‘School of Social Sciences and Humanities’. Please quote the advertised reference
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an online admissions application, via the admissions portal by midnight (23:59 GMT), 10th November 2025. On the ‘Choosing a programme’ page, please select Wolfson SPaRC Research MPhil/PhD (Full-time). More
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decisions surrounding future applications of NLP. Candidate profile An ideal candidate would typically be: A graduate with a strong degree in a relevant field (computer science, linguistics, design, HCI, law
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, Urban Studies, Urban Analytics, Environmental Science, Computer Science, Architecture, or an appropriate master’s degree. Familiarity with Python/R programming, GIS and spatial analysis (e.g., ArcGIS