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, electrical stimulation systems, and clinical biomechanics. Key responsibilities will include: Supporting hardware and electrode interfacing for data acquisition systems Coordinating and conducting experimental
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without relying on conventional electronic hardware. The successful candidate will contribute to the full lifecycle of fluidic system development, from conceptual design and modelling to fabrication
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self-motivated research fellow to join our team for the following key tasks • Sensor Hardware Development: Design, prototype, and validate miniaturized, wireless sensors for physiological and
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environments, including file systems, shell scripting, and hardware/software monitoring. Strong mathematical background as evidenced by relevant coursework and/or work experience. Strong organizational skills
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-latency operation, and improved robustness under photon-limited conditions. Develop hardware-software co-design for intelligent sensing, including implementation and evaluation of real-time or near-sensor
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 18 hours ago
systems integration, real-time imaging technologies, and performance validation protocols. Participants will learn optical and x-ray system calibration, mixed-reality hardware integration, and evaluation
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(hardware) on the day-to-day basis and will be reporting to the principal investigator. The ideal candidate is expected to have experience in delivering complex time-bound projects in a fast-competing
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materials and sensing technologies into robotics and other interdisciplinary research initiatives. Inline sensor system developmental work for 3D printing of non-newtonian materials. Optimization of hardware
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mobile robots, and motion control systems. Experience in mechatronics, electromechanical system integration, actuator selection, power systems, embedded controllers, safety systems and hardware interfacing
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evaluations, and algorithm validation. Develop and apply Generative AI, Embodied AI, and Physical AI frameworks Support software integration with robotic hardware and control systems. Collaborate closely with