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capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem solving. Diverse research areas: Work on numerical models, analyzing large data sets
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numerous opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports
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perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch
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Horizon Europe – MSCA-DN, tackles challenges in designing, optimizing, selecting materials, and manufacturing small-scale turbomachinery for applications in heat pumps, fuel cells, organic Rankine cycles
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overall focus will be to strengthen the department’s expertise in closing the building “performance gap” through data-driven building operation optimization and system innovation. You will bridge advanced
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methodologies for assessing Local Energy Communities. Contribute to the integration of market and economic considerations into mathematical optimization models. Analyze electricity market structures, pricing
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confidence in the measurements and establish traceable validation routes. Optimize the methods for realistic converter operating conditions and communicate practical guidance to academic and industrial users
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
transition enhancing sustainable energy technologies that involve renewable carbon-free fuels, efficient energy conversion, and pollutant emissions reduction. The group focuses on numerical simulations
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results, numerical modelling, and analytical approaches to support the development of respective reliable and efficient design concepts. Led by Prof. Christoph Odenbreit, the ArcelorMittal Chair of Steel