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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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the sense that it is recognised that digital entrepreneurs can be located anywhere and carry out their activities remotely. This study will allow us to examine how regional factors (including hard
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development of the project GIS, geospatial analysis, remote sensing, and targeted excavation, in order to detail the evolution of early medieval sites and landscapes. You will oversee the day-to-day management
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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
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diverse sectors, including agriculture, manufacturing and remote sensing. Check out the team website at https://decide.ugent.be Topic As robots move from caged industrial settings to dynamic environments
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Environmental Science (Ref: FST260108) Job Description Candidates with expertise in the following areas: atmospheric science and pollution control, sustainable technology and science, remote sensing technology
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environments, good ability to write and speak in English, driver’s license for cars, experience of remote sensing/GIS and modelling is meriting. We are looking for candidates with creativity, power of initiative
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managed boreal forest landscapes. The research will be done in terrestrial ecosystems. It aims to include experimental and observational studies (e.g. using field, lab, remote sensing data) along
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking a highly motivated
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, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies, intelligent transport systems, smart city, utility system management, location-based services