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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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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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-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
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic, productive mathematical modeler
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic and productive mathematical modeler
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, and experience Essential criteria PhD in applied statistics / mathematics / Econometrics. Skills in applying statistical knowledge in the design and analysis of applied healthcare research studies
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Allowance. Candidates should either have a PhD or equivalent qualification in Applied Mathematics (or in an allied area), should be finalising their PhD or waiting for their viva date. Please note