61 cloud-computing-"https:" "https:" "https:" "https:" "https:" research jobs in United States
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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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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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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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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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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
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experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and
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Post-Doctoral Research Associate (Informatics - Center 4 Health Research) Hiring Department: Center 4 Health Research Location: Peoria, IL USA Requisition ID: 1037900 Posting Close Date: 1/22/2026
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research in a university environment. • Expertise in advanced geospatial topics such as web GIS (ArcGIS Online, Mapbox), cloud computing platforms (AWS, Google Cloud), or machine learning applications