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Field
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work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy methods, low-impact design) GTI’s
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for automated maintenance, adaptation, and transfer of predictive models, ensuring robust, sustainable, and efficient industrial operations. The successful candidate will lead the Model Predictive Control (MPC
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Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position can be filled at either the Postdoctoral Associate level, depending on qualifications
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Join a cutting-edge project developing automated IR spectroscopy tools for solid sampling - ideal for those passionate about spectroscopy, hardware and data science. Job requirements This project
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
above as well as nanoscale experiments with domain-informed AI/ML algorithms. In addition to fundamental science discovery, the research will pursue development of automated workflows and novel ML
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per year, if mutually desired. Research will focus on multi-level investigation of safety-critical human-in-the-loop systems that collaborate with automated/autonomous decision-aid technologies. Desired
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optical metrology, with calibration of acquisition chains, and with the design of high-precision experimental setups will be particularly valued. Experience in the validation or automation of instruments
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HDL code of SPARROW (e.g., with logic gates and multiplexers) to simulate transient faults, ideally through automated insertion. Conduct fault injection campaigns on the target hardware platform
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how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection, human
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development, preferably membrane processes, and will possess a thorough knowledge of membrane technology, process simulation, designing, building and running automated data collection equipment. Experience