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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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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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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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and committed undergraduates and postgraduates. The successful applicant for this position will have a PhD, formal pedagogical training, and recent experience in delivering outstanding University
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pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally analytical, simulation-based, ethnographic
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PhD. Some experience teaching a diverse group of students at postgraduate level is also essential. Your role will be to deliver teaching to Birkbeck students, in order to enable them to complete
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of designing or conducting research and research methods. D5 Research experience Dimensions The Multimorbidity PhD Programme for Health Professionals is designed to: Recruit and retain the best aspiring
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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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or as part of citizen science projects Experience in supervising students (BEd, MEd, PhD) Excellent knowledge of qualitative and/or quantitative methods of empirical social science/educational psychology
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approach is a method that is both formally rigorous and practically efficient for the verification/validation of quantum devices. Candidate’s profile Knowledge of quantum computing and an understanding