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Field
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Postdoctoral researcher position. Mechanobiology in bioengineered neurodevelopment. Laboratory of...
materials, actuation devices, optogenetic force sensors and actuators) in order to unravel their role in brain development. Job description A postdoctoral researcher position is available in the Laboratory
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coherent interaction of laser light with atoms for Rydberg-based sensors and spectrometry is also desired. Conditions of Employment Department 3KE710 Physics Dept Location William & Mary Job Open Date 05/13
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). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P
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located in central Oxford. Solid-state spin photon interfaces are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. Point defects in wide-bandgap solids
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in process and systems development related to laser-based metal AM Familiarity with process sensors for laser-based AM methods Familiarity with design for AM and post-processing techniques Innovative
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environments, and communicate fluently in English. Ability to multi-task and work cooperatively with others. Preferred Qualifications: Skills in the setup, instrumentation, and maintenance of sensors and sensor
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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. Job Duties Job Duty Conducting research related to the development and deployment of the in situ radionuclide sensor, Essential Function Yes Percentage of Time 35 Job Duty Publishing original research
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Postdoctoral Research Associates to support multidisciplinary research on (1) Performance prediction of large-scale concrete dams using machine learning techniques, 2) Fiber-optic sensor-based monitoring