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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will combine
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the aim of developing innovative strategies to improve human health. HT is composed of five Centres: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centres
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, fluorescence screening, RNA footprinting and computational methods to study the atomic structure and dynamics of the RRE, identify new antiviral candidates and guide the optimization process. The publication
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which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and
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structure-based ligand design. We are dedicated to advancing scientific knowledge and developing novel solutions in chemical synthesis, chemical probe development, and drug discovery. We invite highly
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analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
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PIs of the Namur Institute of Structured Matter (NISM), the Namur Institute for Complex Systems (naXys) and the Institute Heritages, transmissions & inheritances institute (PaTHs). The project focuses
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the laboratory. Extensive characterization will be performed, with structural, microscopic and chemical analysis, to explain the evolution of properties in order to better predict them, propose in-situ estimation