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metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a
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machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a biological reference point for identifying disease-specific biomarkers. A central part of the
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preclinical therapy development. Work collaboratively across different research environments, integrating findings from zebrafish models with data from mammalian models and other experimental systems. As part
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modeling, geometric deep learning or physics-informed machine learning, or you are willing to learn these quickly; strong collaboration skills: you enjoy working in a multidisciplinary team and feel
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that protectLMIC infants from both. This is a 4 year PhD project based at the Amsterdam UMC's Department of Global Health, building on collaborations with the Centers for Infectious DIsease Research in Zambia