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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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methods (using STATA), such as multilevel modelling approaches, developing and applying inverse probability weights or other approaches (eg multiple imputation etc) as appropriate. 2. Lead the development
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phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s
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providing quality control or process optimization for electron microscopy in an industrial environment. Experience bringing electron microscopy to industrial application. Experience leading projects
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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PRISMA guidelines Design and implement search strategies across multiple scientific databases to identify relevant studies Critically appraise and extract data from peer-reviewed literature using
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electronic converters are required to connect renewable energy sources and energy storage systems to the power network. These converters employ sophisticated control algorithms that must simultaneously achieve
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Use research management systems (such as RedCap) and other study databases to monitor and manage collected data and perform quality control checks to ensure data quality Assist with study recruitment
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research with annual expenditures of more than $4.9 million in fiscal year 2024. Research activities are carried out in multiple research laboratories at the Department and at research centers in the College
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from multiple high-income countries, including the UK (UKHLS), Germany (SOEP), Australia (HILDA), and the US (PSID), alongside ageing studies such as SHARE, ELSA, and TILDA. Where feasible