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Field
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-Provider Cloud-Edge Continuum" that operates independently of any single provider. This continuum embodies the seamless fusion of cloud and edge computing, enabling the flexible allocation of resources and
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Qualifications Successful candidates will have PhD completed within the last 5 years in computer science, data science, biomedical engineering, computational linguistics, medical informatics, or a related
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The Fire and Explosion Modelling Group (FEMG) at University of Surrey is seeking a Research Fellow to work on computational fluid dynamics (CFD) analysis of accidental releases of liquid hydrogen and ammonia
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or an equivalent foreign degree in Mechanical Eng., Naval/Maritime Eng., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility
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position We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics. The fellowship period is three years
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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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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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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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leading first-author submissions to top-tier (top 10%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 2 days ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous