Stochastic Differential Equations
Differential equations that combine deterministic evolution with random forcing to represent systems influenced by continuous uncertainty.
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Extreme Event Attribution
Quantitative analysis of how human-caused climate change altered the probability or intensity of a particular weather or climate extreme.
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Protein Language Models
Machine-learning models that learn statistical representations of amino-acid sequences for prediction and molecular design.
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Paleogenomics
The reconstruction and analysis of genomes from ancient biological remains to study populations, evolution and disease through time.
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Reinforcement Learning
Machine learning for sequential decisions in which an agent improves behaviour from rewards generated through interaction.
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Glacier Dynamics
The deformation, sliding and mass exchange that govern how land ice flows from accumulation zones toward its margins.
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Bayesian Inference
A framework for updating probability distributions over unknown quantities when new evidence is observed.
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