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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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and/or slitless spectroscopy datasets and/or JWST imaging datasets Development of methods for large spectroscopic surveys and data products This is a two-year term appointment from date of hire with
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biology and genomics. We are collaborative and multidisciplinary, combining organic chemistry, cell and molecular biology, protein biochemistry, and large-scale genetic screening in our research approach
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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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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. The researcher will take primary responsibility for (1) managing a field study of urban adaptation among New England fireflies over summer 2026 and (2) analyzing a large dataset from a field study on flying insect
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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biochemistry, and large-scale genetic screening in our research approach. Basic Qualifications: 1. A Ph.D. in a relevant field 2. Demonstrated record of research achievement. 3. Strong written and oral
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fireflies over summer 2026 and (2) analyzing a large dataset from a field study on flying insect attraction to artificial light that took place over summer 2025. Candidates will be expected to plan and lead
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large-scale genetic screening in our research approach. Basic Qualifications 1. A Ph.D. in a relevant field 2. Demonstrated record of research achievement. 3. Strong written and oral communication skills