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design to biological interpretation and therapeutic innovation. Through a coherent integration of AI/ML across biological scales, the goal is to improve our understanding of the root cause of diseases
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understanding of the fundamental science behind solid-state batteries but also provide hands-on experience with practical approaches to scaling up these technologies in a rapidly evolving field.
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need expert knowledge in bioinformatic data analysis. Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models are must-criteria
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