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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
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Avignon, Provence Alpes Cote d Azur | France | 3 months ago
capacity. You can take advantage of the current dynamic around sensors at PSH to strengthen existing collaborations, especially with the EMMAH unit for the use of proxy or remote sensing tools (for example
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or predictive modelling, edge AI, AI for biomaterials formulation, processing and manufacturing optimization. Wearable devices – wearable physiological sensors, smart textiles, soft robotics, and exoskeletons
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trained in and ultimately read and interpret proprietary building automation system dashboards (e.g. Johnson Controls), respond to equipment sensors and alarms that send data and readings to a dashboard
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vulnerable and mobility impaired individuals, and case study analyses. Proposals that use digital technologies in data capture are welcomed, for example GPS (location data) and other sensors that measure
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 1 month ago
Change and Transformation Processes," and "Artificial Intelligence and Sensor Technology" - it combines its strengths in teaching and research across institutes and faculties. At its locations in Cottbus
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sensors (in collaboration with sensor developers, local water utilities and authorities) Interact with stakeholders and end-users in co-creation workshops aiming to identify their monitoring and modelling