64 cloud-computing-"https:" "https:" "https:" "https:" research jobs in United States
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Postdoctoral Research Associate, Electrical and Computer Engineering Posting Number req24106 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Main
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information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the world are facing dramatic upheaval as a result of rapid technological change driven
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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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Position Details Position Description Dr. Juming Tang’s group at the University of Washington has launched a new research program focused on developing novel sensors and AI tools to enhance the transparency
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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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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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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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(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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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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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