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Field
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). Develop electronic and hardware control systems for laboratory instrumentation, including sensors, actuators, microfluidic devices, and automation components. Integrate experimental hardware with software
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to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site monitoring of key analytes relevant to environmental
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 15 days ago
. Interoperable medical devices being investigated may include wearable sensors (e.g., photoplethysmography for pulse oximetry and blood pressure measurements, inertial measurement units for gait and movement
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, physiological, and environmental sensors. Assess human performance capacities using multidomain outcome measures. Analyse and interpret quantitative and qualitative data to generate actionable insights. Develop
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intensity ratios. This research project will explore several novel and high-risk techniques for realizing a primary temperature sensor in a compact package. This will require operating an locking multiple
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sensor design and construction experience Essential Application/interview Solid background in electronics and electrical engineering Essential Application/interview Experience in interfacing with
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application of sensors and other equipment on participants, entire bodies, and to support participants as needed during standing postural control tasks to ensure safety. Why Work at Michigan? In addition to a
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technology to extract and analyze novel biofluids, such as dermal interstitial fluid (ISF). Your research activities will relate to the development of next-generation sensors for human health and performance
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will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault