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stringent energy, safety, and integration requirements of aviation. The main objective of the postdoctoral position is to develop a high-fidelity battery system model ready for future digital twin development
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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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-fidelity battery system model ready for future digital twin development. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new
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on the context. To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception. This is a full
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine
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science across experimental models and imaging modalities. The Delft work is placed in the microscopy innovation node, with biological collaborators at Utrecht University (prof. Lukas Kapitein) and Erasmus
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in research reactors. As a Postdoctoral Researcher, you will study how light alloys corrode under simulated operating conditions and assess strategies to prevent degradation. Your work carried out in
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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems
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Join TU Delft in advancing the understanding of materials ageing in research reactors. As a Postdoctoral Researcher, you will study how light alloys corrode under simulated operating conditions and
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Location ESTEC, Noordwijk, Netherlands Our team and mission Internal Research Fellow (PostDoc) in Digital Twin Spacecraft and Simulation in the Modelling and Simulation Excellence Section, Future