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management systems. Integrate remote sensing (satellite, airborne, UAV), hyperspectral/multispectral data, and proximal sensors into modeling workflows for crop status assessment, stress detection, and yield
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, thermal management systems, and optical sensors. The ideal candidate is someone who enjoys a hands-on learning environment. Strong documentation skills are an essential for a successful candidate in this
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providing technical input for international and national proposals. Participate in training activities, workshops, and the CoE’s AI capacity development. Where to apply Website https://karjera.ktu.edu/en-GB
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. Experience applying data assimilation and using observations from in-situ sensors or satellite products (e.g., gross primary productivity, leaf area index, yield, GHGs, etc.) to quantify productivity and
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for reproducibility, transparency, and knowledge sharing across the team. Where to apply Website https://karjera.ktu.edu/en-GB/jobs/7227605-project-expert-performing-as-senior-… Requirements Research
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, Physics , quant-ph , Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensors , Theoretical Particle Physics , Theoretical Physics, HEP-Phenomenology (hep-ph
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
focused on environmental applications for air quality management. This will include acquiring datasets related to multiple air quality sensors from diverse data sources, develop open-source, easy to use
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, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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. Preferred Qualifications Experience with energy and air quality sensor technology, data, and modeling platforms. Equipment Utilized Software Skills: Most or all: R, STATA, Python, MATLAB, SQL, ArcGIS, QGIS