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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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observational studies using the James Webb Space Telescope (JWST). The successful candidate will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with
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analysis, contributing to both academic scholarship and broader public conversations; collaborations will take place with faculty, researchers, students and senior administration colleagues. This position is
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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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for Race, Inequality and Social Equity Studies (CRISES) is the scholarly analysis of contemporary ethno-racial inequality, especially as articulated with class-based and gendered social conditions, through
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purification, the development of new catalysts, spectroscopic characterization and analysis, conceptualization of new projects and writing proposals, and preparing presentations and manuscripts to report
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domain-specific foundation models that support tasks such as forecasting, interpolation/extrapolation, downscaling, and “what-if” scenario analysis relevant to climate-related health risks and adaptation
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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the generation of iPS cells. -Embryo manipulation/in vitro fertilization techniques. -Developmental neuroscience. -The biology of aging. -Preparation and analysis of next generation sequencing studies
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a