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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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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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, computer modelling and innovative ideas and wishes to contribute to a healthy planet. Your background could be in physics, physical chemistry/engineering, or biomedical sciences, and your role will be tuned
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of these based on AMD computer processor and graphics processing unit (GPU) technology. These implementations will develop machine learning models to determine performance and complexity when compared
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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
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, leading to novel engineering applications in sustainable architecture and green energy. We are seeking a motivated PhD candidate with a background in mechanical engineering, mechatronics engineering, civil
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OF THE PROJECT Essential Criteria: A first-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline such as mathematics, computer science, AI, data science or statistics. Experience in
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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, Physics, Mathematics, or a related subject. A relevant master’s degree and/or experience in one or more of the following will be an advantage: modelling of dynamic systems, programming (MATLAB, Python, C