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the core is the recognition that global environmental disruptions such as climate change, biodiversity loss, and resource depletion are closely linked with societal systems. To address these complex issues
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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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the core is the recognition that global environmental disruptions such as climate change, biodiversity loss, and resource depletion are closely linked with societal systems. To address these complex issues
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experience (Master and PhD), if applicable List of publications link to your own publicly accessible ORCID record, with a complete and current publication list three key publications as electronic full text
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requirements linked to the position Respect organizational procedures, in particular the data management and security procedures of the Luxembourg Institute of Health Respect the professional secrecy and the
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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dedicated to the study of fundamental mechanisms underlying cellular processes and their links to human pathologies. Research areas covered include RNA biology, epigenetic regulation, cell cycle regulation
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Strong organizational and communication skills Experience with Linked Open data and open data standards is an asset Fluency in English and French. German is a bonus We offer Multilingual and international
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service to epidemiological surveillance networks for pathogenic bacteria. The open data sharing policy of the platform for strain nomenclatures facilitates collaboration on monitoring emerging sublineages
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of common goods. At the core is the recognition that global environmental disruptions such as climate change, biodiversity loss, and resource depletion are closely linked with societal systems. To address