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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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related field. - Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. - Life Cycle Assessment (LCA): experience with, e.g., Brightway2, Activity Browser or SimaPro
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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. Analyze the isotopic pathway from precipitation to tree-ring formation. Calibrate process-based models to achieve more reliable climate reconstructions. Doctoral research tasks will include: Bi-weekly
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(Anthropogenic impacts on saline hydrogeological systems) project, led by Dr. Miguel Ángel Marazuela , which aims to investigate the impacts of anthropogenic pressure and climate change on saline hydrogeological
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stress conditions. 5. Project Name & Code PID2024-161778OB-I00: Tree Growth Optimization by Identifying Molecular Enhancers of Developmental Plasticity for Climate Resilience and Resource Sustainability