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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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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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skills and experience with tools such as MATLAB or Python Life cycle assessment (LCA) Software related experience on system dynamics modelling, GIS, and energy simulations Research writing and publications
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, documentation, and reproducible experiments suitable for internal adoption and MSc thesis work. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https
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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
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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