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fellow to undertake morphological and phylogenetic analyses of living and fossil cichlid fishes. The project is a collaboration between the University of Michigan, The American Museum of Natural History
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interactions and translational vaccine design and prediction. The candidate has the option to choose different research methods such as machine learning, deep learning, natural language processing (NLP), and
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imaging data SQL-based database development for clinical, pathologic, and radiologic data Data quality assurance Training computer vision and large language models on biomedical datasets Validation/testing
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