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Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed systems, cloud computing. Research Assistant: A strong Master’s degree in
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Panel on Climate Change (IPCC), cloud modelling is one of the least understood domains in climate sciences and is “listed as one of the most urgent problems requiring scientific attention”. Clouds
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in climate sciences and is “listed as one of the most urgent problems requiring scientific attention”. Clouds are considered the largest source of uncertainty in climate predictions because it is
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 21 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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Applications are invited for a Postdoctoral researcher in convection and aerosol research with satellite based remote sensing. This position, part of the EU Horizon Europe project Clouds and climate
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 15 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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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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partners, as well as supporting proposals for funding of national/international applications. Required Qualifications PhD in Software Engineering, Robotics, Computer Science, AI, or closely related areas
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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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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS