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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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, 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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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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.•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
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their role in disease. For more information, please visit our website. The open position is part of the NAXDivo Core project, funded by the Fonds National de la Recherche (FNR), which aims at generating and
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part of the NEUROH-CHANGE project, you will play a key role in supporting the Principal Investigator in both the strategic development and day-to-day coordination of the initiative. Your focus will be
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of β-1,6-glucan, a cell wall polymer, and is part of a multidisciplinary consortium comprising to other teams: Sarah Wong (Immunology of Fungal Infections, Institut Pasteur) and Lionel Ballut (Institut