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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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Reference Number AE2025-0573 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0573.pdf CALL FOR
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Sharing – Building a federated data space to enable responsible data integration and cross-project learning. AI & Modelling – Using shared data to power advanced models that help describe and predict
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researcher shall develop R&D activities in the field of batteries for microgrid applications. Such activities will involve at least: Tasks Description: Testing of battery cells and/or modules in controlled
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research fellow to work on the development of data-enabled predictive controller on autonomous
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or comparable analytics tools Proficient in data mining, visualization, and machine learning skills Understanding of predictive modeling, NLP, and machine learning Excellent organizational and time-management
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-the-loop control for extreme robotics applications, including high performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual
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to turn partial MRI measurements into meaningful input for predicting optimal sensor phase configurations and feedback control; Identifying pathways towards the integration of domain knowledge about MRI
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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funded by an NWO Vici grant, our team will develop a new numerical tool to understand this variation and predict the amount of macroplastic on Northwest European seas and coasts. Such a tool could be used