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Training courses for training supervisors are aimed at GPs who take on students as part of the Master's program in general medicine. The aim of this space is to equip and support GPs in their role as trainers of students in the Master of General Medicine program, while encouraging the sharing of experiences between peers.TrainerFlorence PourtoisTarget audienceGeneral practitioners hosting student internsObjectivesDevelop pedagogical skills linked to clinical supervision and reflective supportFoster constructive exchanges between practitioners around the role of internship supervisorSupport the gradual integration of students into professional practiceConsolidate the partnership between the faculty and the fieldWhy participate?Because training future general practitioners is an essential and rewarding mission. Because acquiring concrete teaching tools makes the role of internship supervisor easier. And because it's an opportunity to exchange ideas with other colleagues facing the same challenges.Participation via registration on the site: http://www.mgformations.be/INAMI accreditation requiredFor further information: capmg@unamur.be

Critical thinking, the art of productive doubt, can be learned and cultivated. Faced with information overload and the spread of artificial intelligence, it is more important than ever for students to develop this skill throughout their studies. At UNamur, this educational necessity takes many forms. 

Charlotte Beaudart, a lecturer in the Faculty of Medicine's Department of Biomedical Sciences, has been awarded the Mandat Start-Up Collen-Francqui! A prestigious distinction awarded by the Francqui Foundation to support promising young researchers in the development of their research program.

An innovative initiative at the heart of primary care in French-speaking Belgium In a bid to bring the academic world closer to the realities of the field, we are pleased to invite you to join our second Medical Journal Club meeting in primary care. Location and frequency of meetingsQuai 22 - UNamur 2x/year What is it? A space for general practitioners, pharmacists and students to meet and discuss scientific literature related to primary care.Objectives of the Journal Club Share and discuss scientific articles relevant to primary care practice in a friendly, caring atmosphere. Strengthen skills in critical reading and evidence-based medicine Create a lasting link between the field and academia Federate an active and committed medical-pharmaceutical communityTarget audienceGeneral practitioners (in practice or in training) Pharmacists Medical students, biomedical sciences and pharmacy Why participate? Because science moves fast, and we all benefit from taking the time to read, understand, and question the literature together. Because quality care starts with shared reflection. And because it's the ideal opportunity to strengthen bridges between disciplines. Interested? Have a question? Want to submit an article? Contact us at:capmg@unamur.beRegistration (free)INAMI accreditation required I want to register

Abstract Deep learning has become an extremely important technology in numerous domains such as computer vision, natural language processing, and autonomous systems. As neural networks grow in size and complexity to meet the demands of these applications, the cost of designing and training efficient models continues to rise in computation and energy consumption. Neural Architecture Search (NAS) has emerged as a promising solution to automate the design of performant neural networks. However, conventional NAS methods often require evaluating thousands of architectures, making them extremely resource-intensive and environmentally costly.This thesis introduces a novel, energy-aware NAS pipeline that operates at the intersection of Software Engineering and Machine Learning. We present CNNGen, a domain-specific generator for convolutional architectures, combined with performance and energy predictors to drastically reduce the number of architectures that need full training. These predictors are integrated into a multi-objective genetic algorithm (NSGA-II), enabling an efficient search for architectures that balance accuracy and energy consumption.Our approach explores a variety of prediction strategies, including sequence-based models, image-based representations, and deep metric learning, to estimate model quality from partial or symbolic representations. We validate our framework across three benchmark datasets, CIFAR-10, CIFAR-100, and Fashion-MNIST, demonstrating that it can produce results comparable to state-of-the-art architectures with significantly lower computational cost. By reducing the environmental footprint of NAS while maintaining high performance, this work contributes to the growing field of Green AI and highlights the value of predictive modelling in scalable and sustainable deep learning workflows. Jury Prof. Wim Vanhoof - University of Namur, BelgiumProf. Gilles Perrouin - University of Namur, BelgiumProf. Benoit Frénay - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Clément Quinton - University of Lille, FranceProf. Paul Temple- University of Rennes, FranceProf. Schin'ichi Satoh - National Institute of Informatics, Japan

The Faculty of Medicine is equipped with several cross-disciplinary research entities that also rely on collaboration with UCL Godinne University Hospital within the Namur Institute for Life Sciences (Narilis) research institute..

Japan is almost 10,000 kilometers from Belgium, a country that fascinates, not least for its rich culture full of contrasts. Researchers at UNamur maintain close ties with several Japanese institutions, particularly in the fields of computer science, mathematics and video games. Let's take a look at some of these collaborations..

Initiated and coordinated by Bernard Pireaux (UCLouvain), this collective work - co-authored in particular by Professors Laurent Houssiau and Jim Plumat (UNamur) - offers a reference manual to accompany students of medicine, biomedical sciences and life sciences throughout their course. Designed as a clear, progressive and practical tool, it illustrates just how essential physics is to the understanding of living organisms and to medical practice.

On February 21, the University of Namur hosted the symposium "Medicine and Literature," organized by the History of Medicine and Health Sciences Group, with the support of the Royal Academy of French Language and Literature of Belgium. Nearly 70 participants gathered at the Faculty of Medicine for a particularly open and stimulating day of reflection, devoted to the deep and ancient links between medical practices and literary creation.