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associate (PDRA) with interests and experience in developing mathematical and computational tools for modelling physical processes in porous media, eco-geohydrology, and/or carbon storage; to work in an
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applied mathematics, mechanical, environmental, or electrical engineering, or a related field. Good understanding of the ongoing energy transition in Switzerland and/or Europe. Strong skills in programming
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expertise in economics, engineering, governance and applied mathematics. The team will work interactively and dynamically, in order to quickly develop important new insights, drawing upon extensive research
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and applied mathematics are particularly encouraged to apply. Experience with climate model analysis, modern statistical methods, and processing/analyzing large data sets and model outputs is needed
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/climate dynamics), physics and applied mathematics are particularly encouraged to apply. Experience with climate model analysis and simulation, and processing/analyzing large data sets and model outputs is
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Job id: 089765. Salary: £43,205 – £46,732 per annum, including London Weighting Allowance. Posted: 17 May 2024. Closing date: 16 June 2024. Business unit: Natural, Mathematical & Engineering Sci
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Job id: 089745. Salary: £43,205 - £50,585 per annum including LWA. Posted: 17 May 2024. Closing date: 16 June 2024. Business unit: Faculty of Life Sciences & Medicine. Department: Cancer Imaging. Contact details:Dr Thomas Booth. [email protected] Location: St Thomas Campus. Category:...
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September 2024, an undergraduate degree in a STEM field and must have a curriculum with an extensive mathematical and computational component. In particular, having successfully passed a course on numerical
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roadblocks and develop a testing schedule that provides data early enough to make meaningful changes What We Think Will Be A Good Fit BSc, MSc or PhD in HCI, Mathematics, Statistics, Psychology, Anthropology
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addition, we require: a strong mathematical background solid Python programming skills good background knowledge in the areas of data science, machine learning, statistics, and process modelling passion