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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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PhD Studentship: Understanding how redox regulation processes facilitate platelet function Platelets are tiny circulating blood cells which prevent bleeding from damaged blood vessels (haemostasis
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of Power-to-X processes for renewable fuel production. The project is primarily rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will
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Polymer manufacturing is highly energy intensive, and achieving net zero requires more than fuel switching. This project focuses on process systems engineering for industrial decarbonisation
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are burned for the production of energy. Indeed, during the extraction process of cellulose, hemicelluloses are degraded and solubilized in the effluent of the process, called, the black, liquor. This liquor
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Precipitation (MICP) is a process used in geotechnical engineering and heritage preservation to improve the mechanical properties of low-cohesive soils and porous granular media, or to heal fractures that form in
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. The experimental part will involve leaching experiments coupled with detailed characterization techniques of the solid and aqueous phases to understand the processes by which chemical elements are released
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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parking spot. Selection process The recruitment process consists of three stages: a) selection of candidates by the Committee based on the alignment of the candidate’s competencies with the requirements