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· Demonstrable problem-solving skills · Ability to propose and apply novel (literature based) and innovative ideas for solving a problem Desirable · Knowledge of Bayesian uncertainty techniques
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, and field-level inference (contact: Sownak Bose) In addition to the funded posts described above, we expect to have positions for candidates interested in large-scale structure, galaxy surveys, galaxy
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-halo connection, and field-level inference (contact: Sownak Bose) Benefits of these roles include: • opportunity to undertake high quality research with connection to impact; • working closely with
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mining, and to select, adapt, and develop ML models, predictive models in PyTorch, and interpretable methods such as SHAP and causal inference. This dual approach will both expand the data resource and