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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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understand the opportunities and pitfalls during data generation. Competitive salary and full benefits. Access to state-of-the-art computing infrastructure. Want to apply? Interested candidates are invited
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, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes. The PhD student will work under the
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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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starts from biological questions and challenges that are addressed using state-of-the-art and novel computational and AI strategies, through close interactions and iterations with biological experiments
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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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. 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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genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more
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to state-of-the art tools and infrastructure How to apply? Applications should be submitted through this portal by July 7th 2025 and should contain: Full CV including previous research experience and
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cells in our body and their sophisticated morphology and function render them highly susceptible to degeneration. The preliminary data generated in-house as well as the available public data suggest