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In the framework of the interuniversity research project HOUDINI we are seeking a PhD student eager to contribute to the development and characterization of a humanized mouse model for Charcot-Marie
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language models to decipher the genomic regulatory code, with a focus on the human brain. You will engineer new AI models to predict cell-type specific expression of all protein-coding genes in the genome
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Description The Yves Moreau and Stein Aerts research labs are looking for a shared PhD student to apply deep representation learning and large language models to decipher the genomic regulatory code
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., Vogels T.P., Greenberg D.S., Macke J.H. (2020) Training deep neural density estimators to identify mechanistic models of neural dynamics. eLife, 9, e56261. Lueckmann J.*, Gonçalves P.J.*, Bassetto G
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explainable artificial intelligence), the goal of the project is to unravel the complex regulatory code controlling gene expression in the multicellular model plant Arabidopsis thaliana. Together with your
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(RTT) and MECP2 duplication syndrome, both caused by abnormal dosage of MECP2 protein. We have developed a xenotransplantation model for both disorders, as well as novel ways to investigate
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to induce protective immunity by mRNA vaccination. During your PhD you will obtain strong skills in nucleic acid immunity, molecular cell biology, dendritic cells and in vivo mouse models of mRNA vaccination
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complete a PhD and translate basic science toward potential medical applications Keen interest in dendritic cell biology and immunology Experience in working with mouse models (FELASA C required) English
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considered a plus You are willing to work with patient tissue and animal models (Felasa B certificate is a plus) We offer A versatile and challenging job A vibrant, world-class research environment operating
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biochemistry and neuronal and glial cell biology to integrative systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell systems. Research groups have access to state