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Professor, 4 Assistant/Associate Professors and 8 PhD/Postdoc research fellows, HVL Robotics offers a close collaboration within variety of robotics disciplines. The robotics laboratory is equipped with
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well as the ability to be innovative and creative challenge the status quo and promote new initiatives see the big picture and take broader considerations into account set challenging goals and work hard to achieve
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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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tools along with efficient handling of big data with high time-series resolution. To improve the efficiency in secure power supply through operations and monitoring, Statnett has installed a prototype of
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reconstructions of glacier variability for selected areas in Norway. This involves landscape analyses using satellite images before field mapping. The time series will be based upon studies of sediments deposited
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learning-based image classification approaches. The objective is to quantify landscape changes over decadal timescales, with a particular emphasis on Western Norway. Relevant transformations include
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sematic technologies. Both groups have a dynamic and interactive working environment with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates
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landscape analyses using satellite images before field mapping. The time series will be based upon studies of sediments deposited in glacier-fed distal lakes analysed with ultra-high-resolution scanning
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national and international partners. The PhD project will focus on integrating advanced photogrammetric techniques applied to historical aerial imagery with modern deep learning-based image classification
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carbon sinks dynamically evolve under climate change. The postdoc will work on improving and applying the land surface model CLM (Community Land Model) that is used in the Norwegian Earth System Model