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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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) Geographical information system (GIS) Geogame and digital twin with Unity or Omniverse Global positioning system (GPS), GNSS and IMU Image processing and computer vision Asphalt binder modification, asphalt
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of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed publications. Have experience analysing AUV, BRUV or other marine video
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
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of the project is to reconstruct the environmental, biological, and societal drivers behind plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R
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teach four courses at both the upper-division undergraduate and graduate level: 1) Introduction to GIS; 2) Advanced GIS; 3) Remote Sensing; and 4) Python Programming for GIS. Depending on the needs of SES
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. • Proficiency with statistical and geospatial software (e.g., SPSS, R, Python for GIS). • At least 3 years of relevant work or research experience preferred. ________________________________________ Preferably