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part of the Virgo Collaboration at the European Gravitational Observatory (EGO) and has been active so far in searches for ultra-light dark matter, anisotropic stochastic GW background, gravitational
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collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
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Lunar Power Grid Advanced Control Strategies for Renewable Energy system A Circular Approach to Manufacturing Sustainable Powertrains for Wind Turbines PhD in Advanced Stochastic Control for for Renewable
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to specified rules. A striking fact is that these systems can share common behaviour even when the local rules governing their dynamics are significantly different. This is an example of universality
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pricing strategies. Evaluating the impact of different contracts (e.g., fixed-price, time-varying, or stochastic tariffs linked to spot market prices) on household DR. Assessing the impact of energy market
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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dynamic response to disturbances. EmPowerED is a large project with around 38 partners including different universities, research institutes, municipalities, energy communities, distribution system
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they can be leveraged to create flexibility. Through exploring different strategies for modulating processes, such as adjusting production schedules, varying energy consumption rates, and implementing
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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questions. Given the uncertainties involved in food supply chains, we prefer candidates who have a background in (stochastic) optimization methods (e.g., machine learning, stochastic dynamic programming