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metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use Develop
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Title: Postdoctoral Research Associate: High Performance Cloud Computing Laboratory (HPCC Lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT
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with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data privacy, security, and ethical considerations in handling clinical
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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
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terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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. Experience developing software tools for bioinformatics applications. Experience with cloud computing platforms. To Apply: Please submit the following materials Cover letter outlining your research interests
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Sciences, Atmospheric Sciences, Geological Sciences Experience analyzing satellite data and model output (e.g., Landsat, Sentinel, MODIS). Experience processing satellite data in cloud computing environments
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basis from 12 June 2025 The Digital Economic Security Lab invites applications for a postdoctoral researcher to join GEOCLOUD: The Geopolitics of Cloud Computing, a European Research Council Advanced