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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and...
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM
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biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
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apply: Strong interest in Social Justice, Criminal Procedure, Legal Theory and Human Rights preferably with a specialisation on the use of Artificial Intelligence in Governance and Justice Proven ability
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-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence microscopy, and protein structure prediction by artificial intelligence and crosslinking
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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(e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research. Additionally, the candidate should have experience applying artificial intelligence methods for data analysis
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APPLICATION CLOSING DATE: April 13th, 2025 The integration of Artificial Intelligence, mathematical modelling, and advanced computational simulations of biological systems is transforming biomedical
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contact Julien Schleich, Tel. +352 46 66 44 5337, email: Your profile PhD in Artificial Intelligence, Data Science, Educational Technology, Computer Science, or a related field Solid research background in