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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Clouds, in particular the frozen phase, bring about the largest challenge and uncertainties
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tools, and deploy these methods on a cloud-based platform. The work will bridge fundamental electrochemical reactivity with practical electrolyte and materials design, directly contributing to improved
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WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate
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, ASE, ICRA, IROS, TSE, JSS, etc.). Helping mentor junior researchers, PhD students, and engineers in the lab. Contributing to the development of research prototypes and demonstrators for industrial
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Technology at Lund University, The Faculty of Engineering, is unique in covering the entire technology stack — from wireless hardware and radio systems to distributed cloud platforms and applications. This broad
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on the effective integration of renewable energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected
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students, postdoctoral fellows and other trainees. Qualifications Required Qualifications: PhD in Neuroscience, Immunology, Vascular Biology or related field An excellent track record of publications
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. The candidate will need to master sensor technologies, embedded systems, and communication protocols, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions
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climate change in the region, with a particular focus on cloud cover and properties. He/she will participate in collecting, disseminating and exploiting observational data related to the properties