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been demonstrated at pilot scale, but their wider implementation depends on a robust understanding of where subsurface storage is feasible and under what conditions it will succeed. Your job As a
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objectives work best for sparse, high-dimensional and heterogeneous microbiome data, and turn the selected approaches into robust trainable models. Your work will cover both foundation-model pretraining and
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(e.g., walking, cycling) related physical activity; finetuning, evaluating, and improving model performance using local data and ensuring explainability, fairness, and robustness of the model outputs
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monitoring strategies, analyzing interventions, and ensuring consistency across project outputs. The postdoctoral researcher will take a leading role in developing a robust toolkit for monitoring transition
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small-scale models via distillation from larger models, including through the use of synthetic data. This in turn raises interesting questions about the robustness of the resulting models, their ability
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project outputs. The postdoctoral researcher will take a leading role in developing a robust toolkit for monitoring transition pathways and assessing progress towards systemic change, with explicit