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Field
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of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of tasks. Through this, we aim to develop a framework that can automatically
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. Required Qualifications : Doctorate: A PhD in Industrial Engineering, Environmental Engineering, Waste Management, Data Science, or a related field. Modeling Expertise: Proven experience in designing
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participation in ongoing funded projects as well as the freedom to pursue independent directions. This is a one-year appointment with the possibility of renewal. Candidates should hold a PhD in a quantitative
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will deploy moored sensors (e.g. acoustic Doppler current profilers - ADCPs) in a series of submarine canyons in the Gulf of Mexico and along the US East Coast. Time-lapse bathymetric surveys and
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needs. Tasks may involve CAD design, machining, and integration of sensors and control systems. Collaboration and Mentorship 5% Work collaboratively with faculty, graduate students, and other postdoctoral
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mechanics using wearable sensors. • Models of bone health in running populations. • Models of tissue stress and strain in athletes. • Models of health and performance in female athletes. • Models of athlete
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Posting Close Date Qualifications Minimum Education and Experience The candidate should have a PhD in Cognitive Neuroscience, Developmental Cognitive Neuroscience, or related fields. The ideal candidate
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physical and chemical characterisation. There will also be opportunities to integrate these materials into functional devices, such as sensors, and evaluate their electrical, optical, and thermal performance
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
the combination of socioeconomic data and geospatial information. Experience with the calibration and deployment of low-cost sensors is preferred. Occasional travel may be necessary. Field of Science: Earth
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participating in the training and management of PhD students. Solid-state spin photon interfaces are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. Point defects