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partnership. Scientists with a PhD degree in Physics, Astrophysics, Mathematics or related fields are invited to apply. Successful applicants will be expected to conduct original research in the field
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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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post holder will be required to have: A PhD degree (or equivalent) in Electronic Engineering, Applied Mathematics, Physics or other areas related to RF/Microwave Engineering. Expertise in advanced
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Eastern Studies Computer Science, Economics, Engineering, English, Geography, History, Human Sciences, Jurisprudence, Mathematics, Material Science, Philosophy, Physics, Politics, and Theology. Visiting
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, Engineering, English, Geography, History, Human Sciences, Jurisprudence, Mathematics, Materials, Philosophy, Physics, Politics, and Theology. The fellowships are non-stipendiary. Candidates are asked
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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 have: A PhD degree (or equivalent) in Electronic Engineering, Applied Mathematics, Physics or other areas related to RF/Microwave Engineering. Expertise in advanced theoretical and computational
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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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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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, 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