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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active
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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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pioneering green steel innovation! We’re seeking a skilled Postdoctoral Researcher to develop melting strategies for hydrogen-based direct reduced iron in future electric arc furnace operations. Job
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reduced iron in future electric arc furnace operations. Job description Sustainability remains a hot topic in the steel industry due to growing public awareness of climate change and increasingly stringent
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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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In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors