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, conference papers, and a final dissertation; engage in research dissemination activities; deliver half-year progress reports; take courses; perform department work, e.g., classroom teaching, laboratory
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weathering and erosion to sediment transport and landscape evolution. Depending on your background and expertise, your research will focus on one or more of the following areas: Confocal microscopy of point
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theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
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executing experimental work in the laboratory. Assess the biocide tolerance on a range of culturable and non-culturable bacteria including Campylobacter . Dissemination of your research through publications
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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some background in one or more of the following areas: Mathematical Optimization / Operations Research Reinforcement Learning, Machine Learning, and/or Multi-agent systems Game Theory Algorithms
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sustainable practices, while equipping you with advanced interdisciplinary skills and international research experience. Responsibilities and qualifications As a PhD candidate, your work will support the
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similar degree with an academic level equivalent to a two-year master's degree. You are highly motivated to help solve the global energy problem and you want to work in a big, diverse research project
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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packaging, one that’s safer, smarter, and more environmentally responsible? We are looking for a highly motivated PhD student to join our dynamic, interdisciplinary research team. By joining us, you'll gain