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Field
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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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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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real-world test flights to validate system performance on an innovative VTOL platform (https://aerogriduav.com/). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab
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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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factories for manufacturing-as-a-service. This requires the connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a Postdoc researcher
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connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a Postdoc researcher in this project, you will develop DSS and harmonize data
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connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a Postdoc researcher in this project, you will develop DSS and harmonize data
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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
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will be part of the KIC PRIORITY consortium that aims to improve the antibiotics discovery pipeline. With several academic and industrial partners involved, your work will form the input for other work
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological