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. Proven experience in experimental design and data analysis, with proficiency in statistical software. Experience with soil sampling, laboratory techniques, and field research. Ability to work both
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analysis. Level of experience evidenced by publications in peer-reviewed journals. Fluent in French and English. Experience of working as a member of a multidisciplinary team. Ability to write publications
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students, and supervising PhD students. Fluency in English and a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should be an effective team player to interact
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. Experience in molecular biology, bioinformatics and biostatistics Demonstrated ability to work effectively within interdisciplinary teams and collaborate with national and international partners. Excellent
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for data science (Python, R, SQL, PostGIS, GeoPandas, etc.). Knowledge of urban models and spatial analysis tools (urban growth models, accessibility, change detection, etc.). Ability to work with
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IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g., Grafana, Tableau, etc.). Personal and organizational skills Ability to solve complex
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learning techniques. Ability to work in an interdisciplinary and collaborative environment. Industrial experience or prior involvement in collaborative projects is an asset. Application Applications should
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of proposals for research funding. Develop undergraduate courses, Master courses and modules. Support the appropriate equipment purchasing and ability to deal with international suppliers. Assist
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research and teaching are required all with the ability to professional engagement with a diverse faculty, staff, and students across the university and externally are required. Good English communication
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collaborative interdisciplinary research. Demonstrated ability to lead sub-projects, mentor students, and contribute to scientific dissemination.