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Job Description Are you driven by the potential of AI in medicine? Are you excited by the translational impact of bioengineering research and its potential to bridge fundamental science with real
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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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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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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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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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interaction between experimental and theoretical activities. You will join a thriving community of researchers and benefit from a strong network of international collaborators. Our work environment is
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, computational chemistry or similar. Our group and research- and what do we offer? In our group we work with theoretical catalysis, which is based on atomic scale simulations and dynamics. In this way we have
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advantageous: Experience in laboratory work, including casting and testing mortar and concrete, as well as the use of general testing and characterization methods, is a prerequisite Experience in using X-ray
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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