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that balance energy supply and demand, improve electricity grid flexibility, and optimize renewable energy integration. These solutions contribute to climate change mitigation by reducing emissions and to
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and other stakeholders to gauge and optimize the ecological and bioeconomic consequences of North Sea OWF expansion. The announced PhD position focuses on foraging and life-cycle ecology of fish and
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predictive data-driven models describing the catalytic activity and stereoinduction capabilities of ligand mixtures, allowing for their efficient experimental optimization. The goal of this project is to: 1
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Flyway. The project focuses on creating and connecting optimal breeding and non-breeding areas for species like the Black-tailed Godwit. The project implements meadow bird-friendly measures in project
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the East Atlantic Flyway. The project focuses on creating and connecting optimal breeding and non-breeding areas for species like the Black-tailed Godwit. The project implements meadow bird-friendly measures
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PhD candidate and contribute to research on how brands connect with consumers in the digital age. Your research will focus on how companies design and optimize marketing communications across different
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) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization for reactivity and stereoselectivity. This position will be part of the Marie
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vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights
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Systems, Control, and Optimization group of the (Applied) Mathematics Department and will work under the supervision of Prof. Bart Besselink. The successful candidate should Have a keen interest in pursuing
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic