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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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Qualifications PhD awarded related to security, formal methods, program analysis or software engineering for Associate levels or nearing completion for Assistant level MSc degree with distinction in
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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computational chemistry. Position 2 will seek to develop a new computational method combining atomistic modeling with experimental microscopy as an extension of our group’s original modified Hamiltonian formalism
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software development in a team setting • Experience with version control distribution software like Git • Experience with numerical methods and techniques, including optimization and statistical analysis
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or near completion) MSc/PhD in subject specialism or equivalent. Skills Essential C1 In vivo handling of immunocompromised/NSG mice. C2 Demonstrable specialist technical skills aligned to the specified
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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practices into teaching materials and methods. Willingness and potential to develop independent /collaborative teaching Desirable PhD Teaching qualification or in the process of obtaining one or be committed