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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 13 days ago
with quantitative data analysis using R, Python, MATLAB or comparable software; GIS experience is advantageous Very good command of English (approximately equivalent to CEFR level C1); knowledge
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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy
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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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, or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should demonstrate some of the following skills: - coding in Python - Life Cycle Thinking (LCA
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; Interest in interdisciplinary environmental assessment and offshore renewable energy systems; Experience with programming and/or data analysis (e.g. Python, R, MATLAB, GIS); Excellent written and spoken
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, and sustainability transitions; Interest in material flow analysis, life cycle assessment, environmental modelling, and scenario analysis; Experience with programming and/or data analysis (e.g. Python
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energy/water balance, evapotranspiration, thermal comfort, heat-health interactions. Solid programming and data analysis skills (e.g. Python, R, GIS). Willingness to travel for validation-related fieldwork
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, and scenario analysis; Experience with programming and/or data analysis (e.g. Python, R, MATLAB, GIS); Excellent written and spoken English skills; Ability to work both independently and collaboratively
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programming experience in one or more languages such as Python, R, or MATLAB. Experience working with marine / environmental observation systems, sensor data, and / or remote sensing. Experience handling large