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Field
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, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical
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their structure. Small-angle X-ray scattering analysis (SAXS), already used others systems, has proven effective in this regard, providing quantitative information on the key parameters of a structured network in
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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Position: Postdoctoral Researcher in Vision-Language-Action Models and Physically Informed Neural Networks for Surgical Robotics Publication date: 30.09.2025 Closing date: 29.10.2025 Level of education: PhD
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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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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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proven ability to manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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to analyse and interpret complex data using appropriate frameworks. Strong qualitative/mixed methods research skills with extensive experience of stakeholder engagement. Excellent organisational and project
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controlling cancer cell biology. Your research focus will be on (1) the molecular mechanisms underlying the action of the oncoprotein MYC; or 2) the role of chromatin remodeling complexes in regulating access