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Field
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
evaluation. Demonstrated proficiency in programming (Python required). Ability to work independently while contributing to collaborative, interdisciplinary research efforts. Knowledge, Skills & Abilities
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. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset. • Familiarity with geospatial data
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, energy poverty, and energy security Prior experience in qualitative, quantitative, or mixed-methods research. Technical competence in data analytics, programming, or modeling using tools such as Python, R
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or water-related systems. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset
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of future research proposals. Skills, Experience & Qualifications Needed PhD in an appropriate subject area (awarded or submitted). Proficiency in Python for scientific computing, including basic scientific
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fault traces visually in the remote images and topographic data and reproduces these traces as hand-drawn lines in a Geographic Information System (GIS) environment. These environments allow fault
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languages for data handling, treatment and analysis (e.g. R, Python). • Experience in writing technical reports, scientific articles and other dissemination materials. • Excellent knowledge of English, both
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues