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Field
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contributions to experiments at Fermilab (SeaQuest, SpinQuest) and PSI (MUSE) Detector hardware leadership, including the ALERT time-of-flight detector, the ePIC Barrel Imaging Calorimeter, and the SoLID detector
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on the CMS experiment at LHC. Candidates should have a strong record or interest in data analysis, experimental operations, and/or hardware development. The successful candidate will have the ability
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of the BMS in lithium-ion batteries, including sensors, actuators, and controllers. In our facility, we are establishing a research unit focused on developing the necessary hardware and software components
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monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including
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microgrid and state-of-the-art Hardware-in-the-loop HIL testbeds. Essential functions: Develop innovative solutions and technical approaches to design, modeling, and implementation of advanced control systems
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) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable research experience in conducting experiments for field robotic systems Proficient programming
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reports and presentations for project sponsor. Minimum Qualifications: PhD in Mechanical Engineering required. Experience with hardware development and instrumentation required, as well as experience with
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reports and presentations for project sponsor. Minimum Qualifications: PhD in Mechanical Engineering required. Experience with hardware development and instrumentation required, as well as experience with
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well as in quantum coding theory ▪ Interest in theoretical work with high practical relevance ▪ Interest in demonstrating research results on a hardware platform ▪ Software: Experience with MATLAB, C++, Python
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24.02.2022, Academic staff The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within this interdisciplinary