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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL methods that can support decision-making and control in complex industrial systems while
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and HPC/GPU systems, with version control (git) and reproducible workflows (conda or containers, Snakemake or Nextflow).•Able to work independently as well as within an interdisciplinary, international
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both amplitude and phase information, but traditionally requires highly coherent light and controlled laboratory conditions. Recent developments in incoherent holography make it possible to capture
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-billion euro investments in which several parties are involved (operator, OEM, banks, regulators, insurers, …). As a result, testing of novel wind-farm control ideas in the field is simply not possible
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Physiotherapy.• You are intrinsically motivated by the subject.• You work accurately.• You have a good command of Dutch and are fluent in English and have an academic writing style.• You have good communication
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ferroelectric (FE) layer exerts an influence on a ferromagnetic (FM) layer, which in turn is interfaced with a superconducting (SC) layer, ultimately leading to electric control of the superconducting layer
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defence of a PhD thesis in the field of Electronics-ICT: Artificial Intelligence. This PhD project focuses on the development of intelligent control algorithms for inland waterway vessels, using machine
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, critical-thinking and not afraid to take initiative; can work independently, but also has good teamwork skills; thinks in solutions, not in problems; has an excellent command of English (spoken and written
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to better understand and control the manufacturing process so that small, precise, and reliable structures can be produced efficiently. These developments will contribute to the project's broader