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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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on the design, optimization, and implementation of integrated quantum sensor architectures. As part of a multidisciplinary team, you will explore innovative, energy-efficient approaches to precision sensing in a
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variable, even within the same family, making it difficult to predict the course of disease, provide accurate genetic counselling, or design effective therapies. This PhD project aims to better understand
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-pathogen interactions using in vitro model systems mimicking chronic diseases. The project foresees ample collaborative opportunities with research groups in the MICRO-PATH consortium, spanning
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for an enthusiastic and motivated PhD-student to work on an interdisciplinary research project, which combines computer science and medical neuroscience to study the topic of social cognition. Understanding
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. More concretely your work package, for the preparation of a doctorate, contains: We are looking for a PhD student who will participate in the iBOF project "How do international migration and internal
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or 50 years however they live with increased pulmonary vascular resistance and are prone to various forms of vascular shunting. In this project the student will perform proteomics analysis of patient
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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these theoretical insights with the structure and activity of the clusters, will contribute to the rational design of a novel generation of CO2 photo-reduction catalysts. We wish to hire a joint doctoral student who
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characteristic of damaged gears or bearings. Furthermore, the increasing decentralization of wind farms necessitates robust and efficient on-site data processing capabilities. This PhD project will address