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Adaptive Management of Green Stormwater Infrastructure to Reduce Greenhouse Gas Emissions from Urban Watersheds We invite applications for five PhD and two MSc positions to participate in a
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in ecosystems (RESILIENCE) we are offering a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data
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in ecosystems (RESILIENCE) we are offering a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data
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Grenfell Campus, Memorial University | Corner Brook, Newfoundland and Labrador | Canada | 29 days ago
Four fully-funded PhD studentships in peatland global change ecology at Memorial University of Newfoundland (Canada). These positions are fully funded for four years, are under the research program
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Project description We are seeking a highly motivated and qualified PhD student to join our research team focused on fire safety of mass timber structures. The envisaged research will assess and
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of a changing climate, in part due to a lack of local observations.The main objective of this PhD project is to estimate the net radiative forcing resulting from the albedo change associated with
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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are inviting applications for a Master’s or PhD student position
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The Ingenuity Labs Research Institute and Machine Intelligence and Human-Robot Interaction Laboratory (MItHRIL) at Queen’s University in Kingston, Ontario, Canada, is recruiting two (2) PhD students
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The Wu laboratory at the University of Saskatchewan is currently recruiting prospective M.Sc. or Ph.D. students to undertake research in the areas of stress biology and aging. The Wu lab takes a molecular genetics approach using the model system Caenorhabditis elegans to study aging biology and...
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Under a changing climate, new approaches to develop growth and yield models using a time series of 3D remote sensing observations (specifically Airborne Laser Scanning (ALS) or LiDAR) and