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optimizations are still needed to adapt the translation of these mRNAs to the cell types of interest. As part of a collaboration with Chantal Pichon's team (University of Orleans), this project aims to use
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on other taxa (microorganisms, birds, fish), notably through the FREE project. The project includes a strong synthesis component, with opportunities for empirical extensions depending
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Description The person hired for this position will work within the context of the French Océan et Climat program, particularly in the AI data challenges part of the project https://www.ocean-climat.fr/Le-PPR
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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providing protein-level insights into individual cells. This powerful technique is crucial for thoroughly characterizing changes in the TME's surface proteome and identifying essential components
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Learning within the Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the dynamic organisational context of a growing, globally connected research
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, and endpoints Evaluate the technical feasibility of trial emulations by extracting the components of simulated trials from existing data, Document barriers encountered (e.g., access, data quality
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.•Ability to take initiative and work independently and as part of an international team.•Be open-minded, respect other team members' work, professional aspirations, and cultural identities.Required education
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and Guidance, within the Department of Education and Social Work. The person will be part of a dynamic organisational context of a growing, globally connected research university. The postdoctoral
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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI