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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Cloud Application and Platform Group is a cutting-edge research group from CCDS. It is a leading research group in
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Cloud Application and Platform Group is a cutting-edge research group from CCDS. It is a leading research group in
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optimizing our machine learning model for deployment on the Google Cloud Platform (GCP). As the position is expected to work on time critical deliverables, we anticipate that the start date will be in April
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optimize database structures to efficiently manage large research datasets. Develop programmatic interfaces connecting various research components and systems. Build scalable cloud-based architectures
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management, cloud computing, machine learning, and algorithms for the Internet. Example topics of interest include but are not limited to the design and analysis of sketches and filters for use in real systems
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management, cloud computing, machine learning, and algorithms for the Internet. Example topics of interest include but are not limited to the design and analysis of sketches and filters for use in real systems
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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis
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spectrometry data analysis or metabolomics is highly desirable Experience with cloud computing platforms and distributed computing tools Experience with deep learning architectures such as CNNs, LSTMs, and
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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faculty adviser, Postdoctoral Fellows will conduct specialized research in one or more areas of Atmospheric Science, including atmospheric chemistry; climate and atmosphere-ocean dynamics; cloud