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, competitiveness, nature, and environmental impact, and contribution to the vitality of rural areas. Your responsibilities will be closely aligned with the research goals, as outlined below: Analyze social, economic
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Infrastructure Engineering. Undergraduate and graduate degrees (Master and PhD) are offered in civil & environmental engineering, computer engineering, electrical and electronic engineering, and mechanical
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staff from diverse backgrounds. Bilingual candidates of all language backgrounds are strongly encouraged to apply. Examples of the types of positions that arise include: • Interviewer/Assessors who work
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participation in proposal writing. Her/his technical proficiency should encompass isotope geochemistry, hydrogeology, and numerical modeling. A deep understanding of serpentinization processes, including water
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Qualifications PhD in social or natural sciences or related field required by the time of hire. Have been academically active for no longer than 4 years post-PhD. Ability to work independently, outstanding
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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Proficient in platforms/tools/languages such as Python, Matlab, QGIS, Google Earth Engine, version-control, C++ processing large datasets Preferred Qualifications: Experience with transdisciplinary work in
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qualifications is an asset, but we do not expect a single candidate to have all the qualifications listed here) Excellent written and oral communication skills in Spanish or Portuguese Experience working in/with
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not