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theory and applications, instrumentation and signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data
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software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
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system involving end-users, data content distribution, computing services and their interactions with the edge-cloud infrastructure and data indexation system.- Experiment with such a system using the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
generation (RAG) Experience deploying large-scale machine learning models in cloud environments. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and
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environments, cloud computing, or GPU-accelerated machine learning Background in Monte Carlo Tree Search (MCTS) or reinforcement learning for sequence generation Familiarity with biological sequence alignment
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for biological data analysis • Knowledge of tumor microenvironment and cancer immunotherapy concepts • Track record of peer-reviewed publications in relevant fields • Experience with cloud computing, version
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) to conceptualize and quantify the controls of anvil extent and cloud feedback of tropical deep convection across scales. As a successful candidate, you will combine your expertise in deep convective processes with
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the advection, cooling, and drying of air masses from lower latitudes. To better constrain future Arctic climate change, we want to understand how boundary-layer and cloud processes drive and control these air
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; Experience in Cloud platforms with services like S3, Redshift is a plus Prior experience in coordinating scientific or EU-funded projects, ideally in translational research or platform development is an asset
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular