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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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of rainfall and snowmelt. Design and conduct fieldwork for in-situ measurements and samplings. Closely work with researchers and students involved in spatial hydrology. Publish scientific papers in peer
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interdisciplinary team studying the biology of microalgae and soil cyanobacteria. This position will focus on understanding the ecological roles and potential applications of these microorganisms in agricultural
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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to develop research on socio-spatial disparities and their impacts on access to essential services such as education, health, and infrastructure. The successful candidate will also work on analyzing and
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candidate will contribute to ongoing projects and develop independent lines of investigation within the scope of microbial ecology, environmental microbiology, and bioremediation. Strong expertise in
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computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather
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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model
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for collecting data on environmental and health parameters (air quality, noise, mobility). GIS Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban
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multidisciplinary team and collaborate across research groups. Preferred Qualifications: Experience in functional characterization of microbial enzymes. Familiarity with microbial ecology and soil biochemistry in