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the domain of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze
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Microscopy Centre , the Geolab , and the Earth Simulation Lab . We also have excellent High- Performance Computing facilities. About Utrecht The department and its facilities are located at Utrecht Science
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science, chemical engineering, material science, or a related program; a strong commitment to developing predictive models that link ingredient functionality to product performance and sustainability
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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of Twente TechMed-CNPH and BMS-CodE groups , and industry partners Artinis Medical Systems and Clinical Science Systems. Information and application To apply, please submit your application by the button
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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scientific literature and interviewing stakeholders; and conduct a cross-region survey on implementation conditions for One Health. Throughout the project, feedback from stakeholders like poultry farmers
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze Universities of Applied Science, supervisors from the Construction Management
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of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze Universities