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graduate level: 1) Introduction to GIS; 2) Advanced GIS; 3) Remote Sensing; and 4) Python Programming for GIS. Depending on the needs of SES and the candidate’s areas of interest and/or expertise, other
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data visualisation and mapping for research communication. • Proficiency with statistical and geospatial software (e.g., SPSS, R, Python for GIS). • At least 3 years of relevant work or research
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well as numerous other benefit programs. https://www.tamus.edu/business/benefits-administration/ What you need to know The anticipated start date for this role is June 1, 2026, pending final hiring processes. TTI is
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of the department and within the consortium. Where to apply Website https://emer.fa.em3.oraclecloud.com:443/hcmUI/CandidateExperience/es/job/7865/s… Requirements Research FieldBiological sciencesEducation LevelMaster
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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, AMOS, SAS (Statistical Analysis Software), Microsoft Excel (advanced modeling), Python, R Qualitative Analysis Tools: NVivo Geographic & Mapping Tools: ArcGIS, QGIS (Quantum GIS), Google Earth Pro
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gallery, walking to the campus supermarket or choosing from a variety of eateries and food options on your lunch break! For more reasons to work at Curtin, please visit https://staff.curtin.edu.au/discover
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS
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competitions including creating challenges Building integrated dashboards with any of the following tools: SQL Server, PowerBI, Tableau, Python/Machine Learning, AWS, Azure. Security clearance (current or