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of neurodevelopment and its disorders. Great technical strides are prying open the black box of the brain, while artificial deep-learning algorithms can now defeat Go masters. Yet, we are still far from understanding
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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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position is available for the research on theoretical and numerical methods related to any of the following: open quantum systems, quantum information processing and quantum machine learning, nonlinear
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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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Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01
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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