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modelling tools are required. Robust modelling and programming abilities (e.g., Python) are essential prerequisites. Experience with VIC (or similar hydrologic models), GIS, and large-scale computing
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between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European Research Council’s Synergy
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numerical analysis skills (e.g., Python, MATLAB) and/or experience with groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with laboratory analytical methods (e.g., chromatography
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positions that will support ongoing work on peatland forests biodiversity and restoration. The primary tasks include processing GIS and remote sensing data, such as satellite and drone imagery and LiDAR data
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and applied statistics, including use of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological
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are seeking a GIS Technician with a good eye for detail. The ideal candidate will demonstrate proficiency in ArcGIS Pro and Online, with a preference for some experience running Python scripts. Experience with
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years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing. • Proficient
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applicant will be to interpret remotely-sensed imagery to label and validate polygons of disturbance in the landscapes in and around national parks of the Great Lakes region, and to manage the data in a GIS
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) • Preferably demonstrable experience in academic writing for publication (e.g. first or co-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS
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analysis, GIS and Python regarding urban and regional planning Documented experience of working with urban and regional policies and qualitative data. Documented experience of working with transport related