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GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in
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and have synergiccollaborationeffects. Weexpect a motivatedearlycareer researcher with stronginterest and experience with GIS/earth observation/climateprojection data as well as machine learning models
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) Positions Postdoc Positions Country France Application Deadline 8 Jan 2026 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 2 Feb 2026 Is the job funded through
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strategies for diverse Idaho communities. Level Scope: After earning a Ph.D., the next step in the academic or research career path is often a postdoc. A postdoc is a continuation of a researcher's training
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-water futures and resilience strategies for diverse Idaho communities. Level Scope: After earning a Ph.D., the next step in the academic or research career path is often a postdoc. A postdoc is a
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Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 18 Dec 2025 - 20:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris 15, le de France | France | 20 days ago
» Other Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France Application Deadline 20 Dec 2025 - 20:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time
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knowledge of citizen science, citizen’s assemblies, (urban) experimentation and participatory GIS and good expertise in at least two of these approaches; Sound experience with supervising PhDs and/or postdocs
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related discipline. You have demonstrated experience in GIS-based spatial analysis and/or spatial optimisation. You are familiar with methods for collecting and analysing biodiversity data (e.g. camera
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skills: Knowledge of vertebrate skeletal morphology (mammals and/or reptiles). Skills in database management and integration of large, multi-source datasets. Familiarity with GIS, phylogenetic, or modeling