62 cloud-computing-"https:" "https:" "https:" "https:" research jobs in United States
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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temperature changes in agricultural fields using an unmanned aerial vehicle (UAV) and manage the IoT sensor database and securing the web server to ensure all sensor data is properly transferred to the cloud
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labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the
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(e.g., flow-based models, diffusion models), statistical physics, computational biology, or ML theory. Experience with cloud computing, computational structural biology and/or phylogenetics, and Nextflow
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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Qualifications Proficiency in coding with Python. Familiarity with PostgreSQL. Experience submitting batch jobs in a cloud computing environment Comfortable using tools like Zoom, Slack, Jira, GitHub
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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and William Wilcock where they will have access to in-house petascale computing facilities and cloud computing allocations. They will interact widely with all the participants in the project and have