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Field
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machine-learning algorithms, including systems-on-chip. Energy-efficient hardware solutions for signal processing, machine learning and control in smart sensors and implantable medical devices. Novel
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. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in these domains creates many new opportunities
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, layout and application of deep submicron technologies Embedded systems design and algorithms for embedded software systems. Design of micro-electro-mechanical systems including sensors, amplifiers, mixed
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. Main tasks and responsibilities: Development and validation of machine learning algorithms for health-related experimental data. Improvement of data analysis workflows for metabolomics, chemical sensing
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for sensor networks, i.e. Kalman filter approaches Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations Collaborate with
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optimize sensor deployment and autonomy in sea, ground, air and space environments Assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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, developing, and evaluating advanced ML algorithms and systems, leading technical execution across research programs, and advancing capabilities from early-stage concepts through prototype demonstration
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are seeking a Principal Electro-Optic and Infrared (EO/IR) Systems Engineer to join our Sensors, Signals, and Software Department in the Electro-Optics and Electronics division located in Freeport PA
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equipment. You will ensure sensors are calibrated and will implement, improve, and interpret data quality assurance algorithms. You will also produce reports as needed for distribution to agricultural