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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | about 4 hours 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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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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, MFA), or spatially-explicit environmental footprinting (incl. GIS) - Knowledge in the mineral raw materials sector and criticality assessment methods - Knowledge/use of LCA software (e.g. SimaPro
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, R, MATLAB, GIS); Excellent written and spoken English skills; Ability to work both independently and collaboratively in an interdisciplinary research team. What we offer Our goal is to work together
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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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, Environmental Physics, Physical Geography, Urban Design, or a related field; Experience in atmospheric numerical modelling (e.g., RANS, LES) and scientific programming and GIS tools — or strong motivation
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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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spatially explicit approaches and GIS, and ideally some familiarity with object-oriented programming (e.g. Java). Analytical mindset: The ability to bring together diverse datasets, ensure data quality
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. Job requirements MSc degree in Hydrology, Environmental Engineering, Civil Engineering or a related field Excellent computer programming and GIS skills Proficiency in written and spoken English (Dutch
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of dynamic polymer networks; (ii) (bio)material processing; (iii) organ perfusion and regeneration; (iv) tools to study mechanobiology and cell–matrix interactions; and (v) engineered drug delivery