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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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international backgrounds, BIPS’s research covers the full spectrum from methods development and identification of disease causes to prevention and implementation research. The work is supported by extensive
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. The candidate will contribute to the development of empirically validated methods for identifying and mitigating such effects. The research will involve experimental studies, neurophysiological methods (e.g., eye
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align with human values and preferences remains a critical challenge, particularly in sensitive domains such as healthcare, education, and governance. Current evaluation methods primarily rely
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Planning, Henley Business School Supervisors: Dr Emma Street and Prof Gavin Parker Project Overview: Using a governance lens and participatory methods, this project involves local stakeholders and
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Lorentzian manifolds through experimentation (Karin Melnick) - Representation-theoretic methods in algebraic geometry (Karin Melnick & Pieter Belmans) - Computational experiments with 3-dimensional hyperbolic
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, lack of transparency, safety assurance, and sustainability. You will work at the forefront of AI research, exploring formal and dynamic verification methods, explainable AI, and data space integration
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Engineering, Program Analysis and Formal Methods We constantly seek applications from qualified researchers regardless of their national origin or citizenship. The working language is English. A command of
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Engineering, Program Analysis and Formal Methods We constantly seek applications from qualified researchers regardless of their national origin or citizenship. The working language is English. A command of
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degree in Engineering and have an interest in and/or a good understanding of numerical modelling and testing of structures. Prior knowledge of finite element methods and programming (e.g. C++, Python