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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: 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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, 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
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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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clinical AI. Explainability – the postholder will apply standard approaches to explainability, based on attention mapping, as well as develop novel mathematical tools aimed at improving transparency
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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-based statistical inference and the use of relational databases, or candidates with a PhD or similar in computational science or mathematics, and an interest in archaeology. We will consider candidates
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View All Vacancies School of Computing & Mathematical Sciences Location: Greenwich Campus Salary: £37,099 to £42,978 plus £4069 London weighting per annum Contract Type: Fixed Term - November 2025