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conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement learning, to accelerate CFD optimization and enable adaptive control
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a solvent. The porous structure of the membrane will be guaranteed by using a advanced foaming approach, that will also allow control over the membrane porosity and pore size. There will be a strong
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critical materials data, refine degradation models, and design mitigation strategies that support the safe and sustainable operation of research reactors across Europe. As a postdoc researcher at TU Delft
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machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour. One challenge here is to understand and control the dynamic response of the system for complex
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them in practice, and ensuring their broader dissemination and uptake. This postdoc position is part of the NWO-funded BRIDGE-XR project, which aims to provide a comprehensive examination of
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faculty members, postdocs and PhDs working on diverse topics in the field of control systems and its applications. This PhD position is jointly supervised by Michel Reniers and Martijn Goorden. Where
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. One challenge here is to understand and control the dynamic response of the system for complex input signals. Your goal will be to explore material systems that host novel types of correlated electron
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description We are looking for a Postdoc that will work on the topic of 3D geoinformation for energy data and flexibility management for Positive Energy Districts. The 3-year position is part of the upcoming
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reactors across Europe. As a postdoc researcher at TU Delft, you will focus on improving the understanding of corrosion behaviour of light alloys under operating conditions representative of research
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balance transparency and confidentiality of digital technologies? This Postdoc position offers you the opportunity to conduct original, cutting-edge research in the project “Artificial Secrecy? Taking