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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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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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, bioengineering, (molecular) biology, or related fields, with the equivalent of at least distinction (15/20). You are eager to work hands-on with innovative experimental setups and animal models You can take
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drive neuroinflammation in synucleinopathies and other neurodegenerative diseases. The candidate will employ advanced in vivo models and spatial technologies to dissect the roles of tissue-resident
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neuroinflammation. The PhD student will help uncover the molecular and cellular pathways linking the allergic gut to the inflamed brain, and how these pathways shape disease risk later in life. The successful
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understanding on the origin of nucleic acids that are shed in liquid biopsies, such as blood, using cancer models (mouse and rat) and patient samples of neuroblastoma disease, a rare childhood cancer. Nucleic
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validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology