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join our research team focused on the development of innovative and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge
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$43,805-70,075/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies
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-modal data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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on signal acquisition and development of algorithms for wearables and radiofrequency contactless sensors. The contract will be within the framework of the “Advanced Unintrusive Remote health Assessment” (AURA
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data
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: https://www.ipc.pt/sobre/rh/a-decorrer-bolseiros/ Specific Requirements The scholarship aims to support the implementation and development of the following activities: Sensor Integration and Robotic
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) will contribute to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
Resilience Plan,, under the Partnership Agreement PT2020 Workplan: The 6-month scholarship will focus on integrating and exploiting heterogeneous sensor data in buildings, namely temperature, water consumption
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Earth (AI4DTE). The main goal of DTEClimate project is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete physical