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7,500 academic staff members, passionately pursuing answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
in remote sensing and atmospheric pollutant modeling in the context of fire and climate change. The successful candidate will be embedded in vibrant research groups at Sheffield and York and work
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, computational social science, and/or machine learning applications. Acquisition, processing, and analysis of remote sensing imagery. Proficiency with GIS methods, applications, and visualization. Prior experience
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Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the
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possible renewals, an accumulated period of 3 (three) years in this type of scholarship, consecutive or interpolated. Proven knowledge in: Data Science (Python) Machine Learning (Python) Remote Sensing
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including but not limited to remote sensing; policy and economics of natural resources; harvesting; GIS; hydrology; forest ecology; biometrics; urban and community forestry; human dimensions of natural
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that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a
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, data analysis and remote sensing will be provided. The successful candidate will benefit from the research group at Sheffield, with links to researchers in Peru and Boliva. How to Apply Notes and details
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. The ideal candidate will possess: A PhD degree in a relevant discipline, such as cell biology, molecular biology, advanced cell models, quantitative bioimaging, or bioinformatics Demonstrated expertise in
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at the Institute of Geophysics, Faculty of Physics, University of Warsaw. Candidates are expected to have knowledge in active remote sensing data analyses, including Mie-Raman lidar (EARLINET, ACTRIS), Pandora