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, or modeling using tools such as Python, R, GIS, or similar computational platforms. Demonstrated ability to collaborate across disciplines and translate technical and social science insights into scholarly
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
(ALS) data and multispectral imagery, methods for spatial data analysis and the use of GIS tools and geospatial workflows, working with environmental datasets, in particular those related to forest
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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to interdisciplinary discussions Office, GIS (Arc/Q), R, Python (basics) English, Spanish (Italian, German, Dutch, Polish beneficial) Strong experience with spatial assessments. Early leadership experiences at junior
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scientific concepts to diverse audiences. Proficiency in computer programming (R, Python, or similar languages). This job posting reflects the general nature and level of work expected of the selected
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 10 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 2 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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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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, 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