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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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modelling and statistical and GIS software (R, QGIS/ArcGIS, Python). - Excellent scientific writing and communication skills in English and Spanish. Specific Requirements • Doctorado en Programas de
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experience using Python and related tools. -Manejo de herramientas de visualización, mapeo y análisis espacial (como GIS) para el apoyo a la planificación y toma de decisiones en entornos urbanos
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GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS
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spoken English. ADDITIONAL MERIT: Experience with farmer engagement and participatory research approaches. Experience with LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data
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frameworks Interest in the science-policy interface of sustainable development Good interpersonal and communication skills (both written and oral) in English Knowledge of programming languages such as Python
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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. Ability to multi-task, prioritize and meet deadlines. Ability to be flexible and change between projects and tasks as requirements change. Familiar with GIS and programming languages (e.g. R, SQL, Python