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. Building on our published and unpublished work, the successful candidate will advance nanopore trapping in new directions using solid-state and biological nanopores to identify previously inaccessible
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reasoning domains. This work will blend cutting-edge experimentation - spanning RL, few-shot learning, meta-learning, etc. - with formal analysis to push the boundaries of what modern AI systems can reliably
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turn fundamentally alter the functioning of ecosystems. Alpine and arctic ecosystems have remained relatively natural so far, but are especially affected by these changes as they are warming faster than
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to fossil chironomid research, applying new approaches for interpreting fossil chironomid records or developing new types of calibration data for further expanding the use of aquatic invertebrate and