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methodologies; You will characterise the materials using spectroscopic and surface characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real
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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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in Kenya. The insights gained from your research will contribute directly to optimizing the deployment of spatial repellents to reduce malaria transmission. You will be part of a diverse and
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advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing
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16 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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16 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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on wind turbines and ships. This involves advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement
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includes techniques such as reliability-aware mapping and optimization techniques as well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable operation. The
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reliability-aware mapping and optimization techniques as well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable memristor-based CIM operation for AI workloads
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning