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, adaptive, distributed, or large-scale)/Theoretical foundations of deep learning and generalization/Federated, collaborative, and decentralized learning/Continual learning, model adaptation, and knowledge
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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-Gaussian feature distributions as a stepping stone towards the development of generalized auditory profiles. Tabular foundation models may also help to improve the derivation of Common Audiological
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, prediction of cell states, or patient stratification Contribute to the further development of model architectures (e.g., transformers, multimodal fusion, generative models) Present results at conferences and
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distributed renewable generation like solar and wind, flexible loads like heat pumps and electric vehicles, and distributed energy storage like stationary batteries and hydrogen storage to maximize energy