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, Statistics, or Geography ;Strong proficiency in Python is required ;Knowledge of remote sensing, GIS, and Copernicus data is a plus ;Excellent command of English.LISER particularly encourage female
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, institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and
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position (26 hours per week) starting from 01.06.2025 limited to 48 months at our location in Müncheberg as PhD Position in remote sensing for Soil organic carbon and tillage assessment (f/m/d). Your tasks
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» OtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Skills using GIS solutions (including 3D modelling) and remote sensing Advanced skills in field data collection Medium skills in statistical
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LanguagesENGLISHLevelGood Years of Research ExperienceNone Additional Information Eligibility criteria - PhD student in Geography - BSc and MSc degree in Environmental Sciences - Other specific conditions: Skills using GIS
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/despre-ub/cariere/posturi-vacante/posturi-cercetare/#… Additional comments - Data analysis: GIS and remote sensing - Data processing and satellite images in Google Earth Engine and Python - Data mining
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of green buildings, renewable energy, Remote Sensing and Geographic Information System (GIS), green infrastructure and analysis through machine learning and neuro-optimized techniques. The candidate must
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PhD Biodiversity responses to regenerative livestock practices in the Espinal woodlands of Argentina
of remote sensing, Geographic Information System (GIS), and the R statistical program is appreciated, as well as background or interest in participatory and social methods. The successful candidate should
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PhD Biodiversity responses to regenerative livestock practices in the Espinal woodlands of Argentina
related disciplines such as Ecology, Environmental or Agricultural sciences. Basic knowledge of remote sensing, Geographic Information System (GIS), and the R statistical program is appreciated, as
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Agronomic Engineering or a related field; -Specific requirements: Knowledge in agronomy, water resources, remote sensing, GIS tools; strong organizational skills; good proficiency in spoken and written