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Field
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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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of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms
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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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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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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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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
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Retrieval and Extraction) Privacy, Safety, and Security Quantum Computing Software Engineering and Programming Languages Systems, Networking, and Cloud Computing Evaluation Criteria Applications are evaluated
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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health
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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable