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of HBGI interventions at three European sites; · Monitoring of physical, ecological, and social performance compared to traditional grey infrastructure; · Iterative design optimization in
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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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initiatives and data-driven reaction optimization. This is what you are going to do This research offers a unique opportunity for highly multidisciplinary exploration within a diverse and collaborative team
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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
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two one-year postdoctoral positions available, centered on our RoboChem initiatives and data-driven reaction optimization. This is what you are going to do This research offers a unique opportunity for
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the industry. Metals Production, Refining and Recycling section (MPRR) You will be part of the Metals Production, Refining, and Recycling section at TU Delft, where cutting-edge research is conducted to optimize
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lowering emissions for the steel industry. Part of Tata Steel Netherland’s “Green steel” transition plan aims to replace the existing blast furnace and coke oven with more sustainable DRI-EAF route by 2030
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crisis, often referred to as the ‘silent pandemic’. Most of the antibiotics in clinical use are natural products derived from microorganisms. Large-scale bacterial genome sequencing has revealed that most
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informed decision-making grounded on a sustainable and responsible use of resources in manufacturing. Vacancy number 15918 Key responsibilities As part of this Postdoc position, you will be contributing