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Field
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degree in chemical engineering or similar field (essential). Strong background in chemical process modelling and design (essential). Prior experience with process optimization (desirable). Prior experience
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, and high-tech companies covering the full energy value chain. Your main focus will be on modeling systems essential for the design and optimization of hydrogen production processes. Accurate
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use through efficient heat exchange, waste heat recovery, and optimized process conditions. Assess and reduce environmental impacts, such as greenhouse gas emissions. Validate models with literature and
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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Utrecht, CWI, Dutch municipalities, DSOs, and other societal/industry partners. The project brings together expertise in energy informatics, optimization, data science, social sciences, and governance
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
internationally. Context Digital twins are virtual representations of real-world products, systems, or processes, enabling simulation, integration, testing, monitoring, and maintenance. They play a pivotal role in
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learning, with the aim of controlling the vessel in an optimal and efficient manner. In this context, control is formulated as a trade-off between different objectives, such as minimising energy consumption
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emerged as an alternative to conventional ML models, promising a more efficient processing of temporal signals at the edge. This includes a wide range of signals, among which cortical activity for brain
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. The focus of this PhD will be on the integration of the heat pump in the industrial process, taking into account the transient heating and cooling demands of different processes. A design and optimization
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("Advanced Wide Bandgap-based Power Processing and Management for Future Space Exploration") is a Horizon Europe MSCA Doctoral Network Joint Doctorate (DN-JD) initiative developed in collaboration with