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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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python-based automations; and integrating GIS data with other software platforms and business processes. Working in close collaboration with interdisciplinary FBO managers and external partners, this role
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
, or Python. Experience with data visualization tools such as Microsoft Power BI, familiarity with relational databases and electronic health record–derived data, and proficiency in project management
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well as reservoir geology and geophysics in the context of various geoenergy applications (hydrocarbons, geothermal energy, CCS, UHS) Expertise in GIS-based geodata management Expertise in the creation of reservoir
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computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data pipelines is essential. Skills in
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
LevelMaster Degree or equivalent Skills/Qualifications basic or advanced knowledge in remote sensing, photogrammetry, GIS, LiDAR, or computer vision, good knowledge of Python, and preferably also R, experience
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Proficiency in at least one of the following programming languages: R or Python. Other Requirements or Other Factors: May travel to sites for field
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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure