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IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g., Grafana, Tableau, etc.). Personal and organizational skills Ability to solve complex
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Area of specialization: Critical Zone is the “heterogeneous, near-surface environment in which complex interactions involving rock, soil, water, air, and living organisms regulate the natural
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skills in machine learning, deep learning, and advanced statistics for processing complex data. Urban Health Principles: Familiarity with urban planning principles centered on health (active mobility
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infrastructure, mobility, and energy management. Integrate real-time data from sensors and IoT devices to develop dynamic models. Model complex interactions between physical systems (infrastructure) and digital
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recommendations. Personal and Organizational Qualities: Strong ability to interpret complex data and draw meaningful conclusions. Aptitude for translating complex data into actionable insights for research and
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. Publications: A strong record of publications in international scientific journals. Communication Skills: Excellent written and oral communication skills, with the ability to present complex ideas to diverse
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(especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems
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written and oral communication skills, with the ability to present complex ideas to diverse audiences. Languages: Proficiency in English and French, both written and spoken. Desired Skills: Teamwork
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scientific journals. Communication Skills: Excellent written and oral communication skills, with the ability to present complex ideas to diverse audiences. Languages: Proficiency in English and French, both
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Ability to transform complex data into actionable insights for research and decision-making. Strong capacity to work within multidisciplinary teams, including urban planners, technologists, and hydrology