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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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) The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and
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applications for a Postdoctoral Researcher to contribute to a project exploring the intersection between urban heritage and spatial justice. The postdoc will work within a multidisciplinary research team and
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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research activities on industrial subjects relating to chemical phosphate manufacturing processes. The candidate will also participate in the supervision of internships, projects and practical work related
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surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization of flotation process parameters based on experimental results. Work closely with a multidisciplinary team
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, atmospheric chemistry, environmental monitoring, or pesticide analysis and scientific communication. Ability to work independently and collaboratively in a multidisciplinary team.
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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Postdoctoral researcher in acid gas neutralization using carbonates from phosphate mine interlayers (12 mois) As part of its commitment to the circular economy and industrial waste valorization, and
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and