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uncertainty, since misclassifications can lead to poor energy management decisions or inappropriate building automation responses. The goal of this project is to design and validate a machine learning framework
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semiconductor devices and circuits based on fully depleted silicon-on-insulator (FDSOI) technology for next-generation AI hardware. This position focuses on the design, fabrication, characterization, and modeling
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. For the purposes, we develop and use advanced (X-ray-based) methods. Your Job Lead the conceptual design, simulation, and implementation of a unique high-energy X-ray beamline for long-term operando investigations
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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
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dedicated to designing and developing cutting‑edge polymer materials. Your Job The following tasks will be carried out according to the instructions and guidelines of your scientific colleagues: Support the
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tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This PhD position focuses on scenario development, as well as the modelling
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models and analysis pipelines for real-time performance, enabling adaptive imaging and feedback control Design active-learning and retraining strategies to robustly generalize to new microbial communities
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the distribution of Li within the anode as a function of process parameters and anode design. However, due to its low atomic number, Li cannot be detected with spatial resolution in electrodes using conventional
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with quantum computer hardware developers, we investigate the applicability of quantum computers towards real-world applications in a hardware-software co-design paradigm. Your Job Within an