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, including 180 permanent staff (researchers, professors, engineers, technicians, and administrative personnel) and around 180 non-permanent staff (PhD students, postdocs, and fixed-term contracts). Each year
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as
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) that control the fate and the effects of trace elements and contaminants in the environment. To achieve the set objectives, the project will be supported by laboratory's instrumental facilities (including HPLC
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materials. Hence, fine control over polymorphism is a key challenge in the quest to create functional nanomaterials. In this research project, we will explore the self-assembly of binary mixtures of nanorods