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significantly change in response to external factors, providing insight into optimal cultivation practices. Bioactivity-Guided Profiling: Integrating metabolomics data with in vitro and ex vivo bioassays (e.g
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machine learning models (e.g., VAEs, GANs, transformer-based models) to large-scale biomedical and biological data, including developing and optimizing models to predict disease progression and create
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; optimize protocols and strategies for FACS-based functional genomics screening; contribute to ongoing research group activities and collaborative projects Offered contract: Coordinated and Continuous
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