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boosting, and related machine-learning approaches Evaluation of model generalizability using train/test splits, leave-one-cohort-out validation, and leave-one-platform-out validation Assessment of predictive
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broad range of backgrounds, including molecular and cellular biology, biochemistry, biophysics, and related fields. Experience with AFM is not required, but candidates should be willing to learn and
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metabolism in ageing models. The use of AI and Deep Learning for data analysis and the establishment of in vitro ageing experimental systems and factor isolation using CRISPR Screening are also planned
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