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Field
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, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able
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team and complete projects without constant supervision. Understanding the complexity of ecological data sets and the analysis thereof is essential to the project. Also, the integration of remote sensing
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satellite remote sensing and chemical transport modeling to characterize air pollution and climate change, and their public health impacts and opportunities for mitigation. This position will work with the
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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(extended-SWIR) for applications related to remote sensing, spectroscopy, LIDAR and communications. The candidate will be in charge of the design, fabrication and characterization of quantum dot laser
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remotely-sensed data into models and decision support frameworks. Explore visualization and communication mechanisms that enhance utility of information for a diverse stakeholder group including producers
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(remotely and in-person) on microwave experiments. Minimum Qualifications: Ph.D. in Physics or related field, strong research experience in 2D electronic systems, some nanofabrication experience. Preferred
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indicated in the application on the CV and cover letter. This is a campus-based role that is not suitable for remote working: Must be able to work as part of a team on the experiments at Heriot-Watt
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quantum dot films engineered at the atomic as well as at the supra-nanocrystalline level to address applications related to safety and security, remote sensing, environmental monitoring, thermal imaging etc
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with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. Starting in 2022, we will