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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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ambitions within the academy for a two-year employment. Subject description Electronics systems include electronics design, measurement technology and electromagnetic compatibility for control, monitoring and
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for real-world applications By leveraging advancements in quantum technologies, the QUBIC project will build a robust innovation pipeline to deliver transformative solutions. These technologies have the
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research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant regulatory guidelines. Lead the exploration and application of innovative analytical approaches. Manage a team
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systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents for autonomous vehicles or robots operating in dynamic
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on these faults: it partly controls the rupture initiation and arrest and thus the rupture extent, but also the amplitude of the ground displacements and accelerations and thus the earthquake magnitude and harmful
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hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure
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of quantum devices. In recent years we developed one of the most robust realization of time crystals as Bose-Einstein condensates of magnon quasiparticles in helium-3 at temperatures below 200 μK. Our current
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Summary We are seeking a highly motivated postdoctoral associate to join our research team investigating the role of diet on hypertension, weight control and other health markers. This position is an
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to light, which opens new avenues for probing and controlling the properties of matter. Recent experimental advances have demonstrated the ability to couple mesoscopic systems—such as quantum dots and