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Field
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simulations, to fit defined scenarios. Investigate how the outputs from different biodiversity credit calculations are influenced by variation in sampling design, including use of GIS. Contribute
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 19 days ago
-acquired above-the-canopy mapping within the broader ForestSphere Digital Twin architecture (e.g., integration with understory maps at ground level and sensor-derived mapping data with GIS systems
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Engineering, skills in the areas of Geographic Information Systems, Geodesy and Hydrography. Additional optional skills and qualifications: Experience with GIS software and geospatial analysis tools. Experience
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alongside other team members, and measuring light and noise pollution using multiple instruments and sensors, along with GIS techniques. The fellow will model the response of species and functional groups
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collaborative projects involving large international consortia. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including
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include strong skills in GIS, large dataset handling, Python programming, and a record of scientific publications in the field. Excellent command of English, both spoken and written, is expected. Merits
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(GIS); - Programming skills in Python and MATLAB. Additional optional skills and qualifications: - Good command of English. Contracting requirements: Presentation of the academic qualifications and/or
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reconstructions. Experience with terrestrial fieldwork in polar environments. Experience with teaching, scientific publication, conference presentations, and grant applications. Experience with GIS and/or
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fieldwork in polar environments. Experience with teaching, scientific publication, conference presentations, and grant applications. Experience with GIS and/or geomorphological mapping. Fluency in Norwegian
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. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command