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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We invite applications for a Research Fellow to work on mathematical
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We seek a talented and passionate candidate to undertake PhD research in computer science, mathematics or statistics, and provide assistance to academic staff in a part-time Graduate Teaching
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mathematical modelling, simulation techniques, and optimization algorithms, coupled with a strong understanding of energy systems dynamics and renewable energy technologies. The appointee will be expected
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Job id: 087968. Salary: £37,332 – £42,099 per annum, including London Weighting Allowance. Posted: 19 April 2024. Closing date: 05 May 2024. Business unit: Natural, Mathematical & Engineering Sci
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Job id: 088046. Salary: £43,205 - £50,585 per annum, including London Weighting Allowance. Posted: 18 April 2024. Closing date: 06 June 2024. Business unit: Natural, Mathematical & Engineering Sci
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of Faculty member Hubie Chen. The successful applicant should have (or expected to receive) a PhD in Computer Science, Mathematics, or a related discipline. Research interest and experience in the following
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to explainability, based on attention mapping, as well as develop novel mathematical tools aimed at improving transparency of clinical AI. The development of these 3 lines of research, will be facilitated by bench
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are currently seeking a dedicated and passionate Maths Lecturer to join our team, focusing on teaching and supporting our vocational areas for students. The team is committed to instilling a love for mathematics
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, the postholder will contribute to statistical consultancy as part of UMS. All work will be supervised by a senior member of UMS. The post holder will be graduate in mathematics/statistics (or other quantitative
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efficiency improvements. 2. Develop mathematical models and simulation tools to represent the dynamic behaviour of onboard power systems under various operating conditions and loads. 3. Utilize optimization