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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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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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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
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issues. Thus, there is a growing demand for efficient and reliable digital CIM-based neuromorphic system design which includes techniques such as reliability-aware mapping and optimization techniques as
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, there is a growing demand for efficient and reliable memristor CIM-based neuromorphic system design which includes techniques such as reliability-aware mapping and optimization techniques as well as high
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packages that include the elicitation, expression, and structural elucidation of novel antibiotic candidates, as well as lead generation and optimization. In the end, the research is projected to lead to a
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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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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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-robot interfaces, optimal control, and Robot Operating System (ROS). TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world