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on the analysis and comparison of the different methodological approaches used in France and Italy, in order to formalize the definition of “best practices”; Jointly integrating project results into the respective
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
communication skills Ability to work in a team setting and be self-motivated Other Requirements: Established publication record in peer reviewed journals Preferred Qualifications: Experience with GIS, UAV data and
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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
related field. Strong quantitative and programming skills (e.g., R required). Experience in ecological modelling with different Artificial Intelligence methodologies, including but not limited to machine
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link various actors within the complex area of climate change. The successful candidate will be working in different case study in Europe under the frame of the EU Project NBS4Droughts. The primary goal
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make a difference in the world! Position Information We are seeking a Postdoctoral Research Associate to assist the project leader (Dr. Srinivasulu Ale, Professor of Agrohydrology) in research projects
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of Medicine. The Department provides a highly collaborative and interdisciplinary research environment. While our faculty draw from different scholarly disciplines, we share a common goal of remediating health