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, computational social science, and/or machine learning applications. Acquisition, processing, and analysis of remote sensing imagery. Proficiency with GIS methods, applications, and visualization. Prior experience
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invite applications from scholars who employ innovative, integrated strategies such as fault/fracture mechanics, remote-sensing, geologic/structural mapping, potential field analyses, and analog fieldwork
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of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven
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) GEOL1051-1 Geological imaging and remote sensing (5 ECTS) The candidate (M/F/X) may also propose to develop courses based on their specific expertise and research. The candidate (M/F/X) will also participate
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peacetime. Today, significant advancements in nuclear technology, autonomous weapons, artificial intelligence, remote sensing, cyber technology, hypersonic vehicles, additive manufacturing, stealth, precision
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, including statistical methods and/or machine learning (preferred ) · Hands-on experience in image processing, remote sensing data, OpenStreetMap and/or SUMO traffic simulator (preferred
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/Robacksdalen https://www.slu.se/en/research/research-infrastructures/research-infrastructures-at-slu-open-to-external-users/robacksdalens-dairy-research-facility/ The postdoctoral fellows from this and the
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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value, the research will benefit many applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working knowledge in most
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, you will be an active member of our Simulation and Data Lab for AI and Machine Learning in Remote Sensing, which aims to strengthen interdisciplinary research and operational services by bridging