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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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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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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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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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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
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for efficient, modern remote and in-person work. This includes oversight of donors, volunteer and community engagement via web, email and social media. Facility Liaison: Maintain a professional and collaborative
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on behalf of the University. Preferred Qualifications Experience in extension education, applied research and academic writing. PhD or other terminal degree preferred but not required. Working with committees