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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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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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cutting-edge research is conducted to optimize resource efficiency and reduce environmental impacts in metal industries. The MPRR research team specializes in the elucidation of reaction mechanisms and
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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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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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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired
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Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired expertise, you demonstrate strong motivation to develop yourself in those areas. You have
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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