15 wireless-sensor-networks Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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/07) Position Description: Apply Position Description Postdoctoral Scholar in Fast Sensors Group Position overview Position title: Postdoctoral Scholar in Fast Sensors Group Salary range: Commensurate
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/research-centers . In particular, the FBK Centre for Sensors and Devices (FBK-SD) (https://www.fbk.eu/en/sensors-devices/ ) is an applied research centre that operates in the following scientific and
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gyroscope. Required Qualifications: Doctoral degree issued prior to appointment start date Strong background in photonics, especially lasers and sensors Required Application Materials: CV Stanford is an equal
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highly motivated and collaborative Postdoctoral Fellow with an interest in optics, device physics, and/or environmental sensor integration for ocean observation. We are an interdisciplinary group
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; familiarity with cloud computing tools and big data workflows A track record of completed research projects Well-written, peer-reviewed papers are expected Interest in using EHR metadata, wearable sensors, and
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their different sensors for decision making. Humans will be able to seamlessly instruct these robots or directly collaborate with one or a team of robots. The fellow will have the opportunity to advise individuals
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and transmission network modeling is useful but not necessary, as long as the candidate is willing to learn on the job. A list recent and past research projects on electricity market design undertaken
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as required About you PhD or PhD under submission in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a
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: The Pain Intelligence Lab The Stanford Center for Population Health Sciences Interdisciplinary collaborations within Stanford School of Medicine Opportunities to engage with national networks in rheumatology
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine