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You will develop the theory that connects quantum experiments with mechanical systems to questions in fundamental physics, establishing what such experiments can and cannot reveal about nature. Job description Imagine extending decades of exquisite quantum control from atoms, ions, photons, and...
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device research and development for a range of applications. Emphasis is placed upon fiber optic and photonic sensors as well as magnetic and electromagnetic materials for electric power conversion and
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collaboration with humans, spanning: (a) novel actuator and sensor design, including soft and smart materials and metamaterials, and their integration into robotic systems; (b) physics-inspired machine learning
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mL syringes. Assemble and inspect the prototype fluid path using approved syringes, tubing, fittings, pressure and flow sensors, bubble-management components, and related accessories Prepare the system
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research collaboration. We are looking for an accomplished, hands-on researcher to lead the development of compact, durable tactile sensors for dexterous robotic hands, so that these hands can manipulate
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for complex mechatronic and optronic platforms. The role is especially oriented toward systems involving precision mechanics, mechanical simulation, stabilized structures, sensor payloads, pan-tilt mechanisms
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mitigation. Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability
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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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that transmit force along a real musculoskeletal path (Science Advances, 2025 ), embedded sensors directly into muscle for closed-loop control of proprioceptive biohybrid robots (Advanced Intelligent Systems
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bioprinted multicellular muscle-tendon units that transmit force along a real musculoskeletal path (Science Advances, 2025 ), embedded sensors directly into muscle for closed-loop control of proprioceptive