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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control
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-electronic and quantum technologies. What you would be doing: Experimental Design and Execution: Plan, conduct and optimize advanced 4D STEM experiments at cryogenic temperatures. This includes working with
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, computing, and energy economics. The successful candidate will have an excellent understanding in one of the following fields: power system operations, power system economics, linear programming, micro
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of control theory and optimization. Knowledge of partial differential equations. Have a strong coding ability Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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interest in social theory to join the workstream ‘Co-creating Concepts of Care.’ The expectation of the successful candidate is twofold: 1) To co-develop and conduct their own PhD project on how racialized
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theory to join the cross-cutting theme entitled ‘Co-creating Concepts of Care.’ The cross-cutting theme focusses on co-producing innovative understandings of racialised inequality in care to understand
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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
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department comprises over 45 faculty members organised in three research groups: macroeconomics and finance , applied microeconomics , and economic theory and experiments , and two research Centres
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Modulo Theories) solver. The work aims to demonstrate methodology through the application of the prototype to a real-world industrial system (provided by our industrial partner - Evolution Measurement