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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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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). This research focuses on better understanding the extreme fluctuations of global and regional atmospheric
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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reports for downstream clinical applications. Essential Criteria PhD qualified in relevant subject area (or pending results/near completion) Experience applying multi-modal models specifically in medical