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Job Description Kickstart your research career with our interdisciplinary PhD project on operating local energy systems to enhance the resilience of electrical grids. We invite you to join our
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of machine learning frameworks Your research will include using models and codes to investigate the optimized design, integration, and intelligent operation of thermal energy storage systems in industrial
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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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that can then be tested quickly in the lab rather than remain computational predictions? Do you also wish to work closely with experimental biologists and gain a solid grasp of how experimental work is
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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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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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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