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Contribute to the supervision of junior researchers and students as opportunities arise A PhD in a relevant quantitative discipline (e.g. mathematical modelling, geo-statistics, machine-learning) Experience
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of Undergraduate and Postgraduate teaching through lectures, seminars, course work, tutorials and personal supervision. You must have a PhD (or equivalent) in Engineering, Science, Mathematics, Statistics, Data
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
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the reputation of the team, the Department and the University. • Be already holding (awarded) — at the start date of the position — a doctoral degree in Economics, Engineering, Applied Mathematics, Data Science
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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at industry-facing events. Strong technical and scientific knowledge in machine learning, preferably with experience in large language models (LLMs). Solid foundations in mathematics and engineering
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and preferences. Decision-making theory and practice. Mathematics and psychology of behaviour. Game theory and mechanism design. Experience design (VR, Audio, UX, etc.) Fairness in the design of
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Applications are invited for a part-time (0.4 FTE) Research Associate position in Digital Musical Instrument Design and Analysis to work on a research project investigating the cultural implications of engineering decisions in the area of music technology. The successful candidate will be based...
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the grade and purpose of the post PhD in one of the following areas: Mathematical Modelling, Statistics, Infectious Disease Epidemiology or related subject or a similar quantitative discipline. Programming
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to refereed journals. You will join a highly collaborative and multidisciplinary team, which includes PhD students and postdocs associates from Computing, Mathematics and Medicine in interdisciplinary settings