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deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images
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. degree, preferably with experience in molecular biology, immunology, bioinformatics, multi-omics, and/or manipulation of genetically-modified mice Excellent communication and collaboration skills, with
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of genetically-modified mice Excellent communication and collaboration skills, with the ability to share knowledge, work efficiently, and perform under pressure both independently and within a multidisciplinary
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, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis, Linux/HPC-based analysis, and NGS workflow development (e.g., Snakemake, Bash). Key
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/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis
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of the first multicellular animals approximately 700 million years ago marks a significant milestone in the history of life and our own species. The genetic and molecular toolkit of multicellular animals and