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in a subject relevant to the proposed PhD project (i.e., computer science, cybersecurity, mathematics, or software engineering). A Masters qualification in a relevant subject area will be highly
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degree in Computer Science or a related discipline. Experience in stochastic and ODE modelling is required. Knowledge of MATLAB/Python is desirable. Understanding of psoriasis pathology is desirable
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PhD Studentship in Computer Science: Incentivizing Participation in Privacy-Enhancing Technologies Award Summary 100% Home fees covered, and a minimum tax-free annual living allowance of £19,237
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PhD studentship in Computer Science: Quantum digital signatures and quantum formal methods Award Summary 100% Home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25
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Award summary 100% Home-fees covered, and minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate) Overview Interested in understanding the interplay between computer science and
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candidate is expected to have a solid background in applied mathematics/statistics/computer science or related discipline. Advanced coding skills are a big plus. This position is fully-funded and research
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and International fees. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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of computations. Recently, many areas of computer science have taken a quantitative turn. The goal of this project is to study quantitative properties of systems by developing quantitative logics and related
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’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8090F. Research Area: Mechanical and Systems Engineering. Select ‘PhD Mechanical
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, Signal Processing, Machine Learning, or Computer Science. We welcome applicants onto the CDT from underrepresented groups. Closing date : 31th Aug 2024. Funding: Full-time studentships will cover UK