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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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Do you dream of organic and holistic ways of automating the design, motion optimization and control of legged robots? With this postdoc position, you have the opportunity to be a part of the ongoing
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, the focus will be on implementing inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our
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inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our experimental partners in Metapix
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validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC
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optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC 61499 and real-time simulation. -Use robotics, autonomous systems, and digital twins to automate and
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how alterations in stem and progenitor cells during homeostasis lead to disease. The advertised position is dedicated to characterizing and optimizing human esophageal organoid cultures from patient
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methodologies for optimally allocating these services based on the characteristics, availability, and operating conditions of different energy resources The research will primarily focus on improving system
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experimental research focused on downstream processing and refinery technologies for fermentation-based or microbial biomasses. Optimize microbial protein flavor and functionality while ensuring economic