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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
, cloud storage, sensitive/personally identifiable information (PII) data handling, and secure data enclaves. Manages and implements the Post-Approval Monitoring (PAM) Program to maintain ongoing adherence
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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software developers, this role focuses on integrating advanced computational methods with scalable cloud platforms to streamline data processing, analysis, and sharing. The successful candidate will have a
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, electronic engineering, geospatial science, earth science or computer science and technology Strong programming, signal processing, cloud computing, and data analytical skills MINIMUM QUALIFICATIONS FOR SENIOR
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Description Summary Student will assist the PhD Program Manager with projects for the PhD in Education program, including data entry, Internet research, scanning and organizing paper files to digitize records
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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The role will be part of a £16 million 6G CHEDDAR Hub, “Communications Hub for Empowering Distributed clouD computing Applications and Research (CHEDDAR)”, led by Imperial College London. You will be a
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, visualization, and AI infrastructure, along with scientific consulting, user support, education, and training. RCC also helps researchers leverage local, national, and cloud-based computational resources