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Prognostics & Health Management for Future Aviation Batteries Job description This postdoctoral position is part of MODABAT – Modular, Scalable, and Technology-Open Design for Future Aviation
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prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements
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missing voices in the societal debate? You will furthermore design and organize public engagement activities, including, for instance, qualitative scenarios and focus groups. The position is embedded in
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batteries (solid-state) via a physics-informed data-driven approach. Accurate prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety
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to work on improving their generalizability and robustness by exploring different modelling techniques, evaluating the impact of design choices, and addressing common pitfalls in model interpretation with
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data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
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storage, and how engineering designs (e.g., well controls) can be optimised to maximise hydrogen recovery given the different depletion states of the reservoirs. The ultimate aim is to develop a set of
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materials scientists. Together, we design technologies that open new possibilities for tissue regeneration, stem cell research, and bioartificial organs. About the role As a postdoctoral researcher, you will
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, the position will investigate how chemical reactions impact the recovery rates of hydrogen during cyclic hydrogen storage, and how engineering designs (e.g., well controls) can be optimised to maximise
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and innovation programme Groenvermogen. In addition, you will contribute to a related project that studies the responsible design of electrolyzer materials. Where to apply Website https