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interest in Earth system and climate change sciences; hands-on and curiosity-driven, and ability to work independently and collaboratively; affinity with object-oriented coding (preferably Python), GIS and
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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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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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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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 dendrochronology techniques, from the research plan, field work and laboratory, and interpretation and publication. He/she should be comfortable with the R and/or Python languages. Experience in handling large
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modelling tools are required. Robust modelling and programming abilities (e.g., Python) are essential prerequisites. Experience with VIC (or similar hydrologic models), GIS, and large-scale computing
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software