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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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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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motion) Pose tracking and behavior segmentation with tools like DeepLabCut, MoSeq, and Kinect-based systems Longitudinal analysis of behavior from early postnatal to adolescent stages in
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, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
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will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human tissue studies. The candidate holds a Master degree in biomedical sciences, medicine
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mechanisms involving genetic, epigenetic and chromatin organisation factors governing the cell-type specific response to ARS mutations. Therefore, integrative genome-wide cis-regulatory network analysis
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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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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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. The applicant is expected to apply for their own fellowship, and will be fully supported during the process Access to state-of-the-art infrastructure and core facilities in a vibrant, world-class
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with a proficiency to overcome technical challenges The candidate is a team player with good communication skills Proficient use of the English language for both oral and written communication Desirable