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lead analysis and integration of household-level socioeconomic data with production, herd dynamics, and methane emissions datasets to develop and evaluate a dynamic simulation model of smallholder dairy
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studies will also be considered. Computational methods, content analysis, surveys, and other methods can be used complementarily, but should not be the primary method. Viable path towards access
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strong background in both materials physics and computation to join our Quantum Materials team. We seek candidates who are interested in developing cutting-edge tools for analysis of comprehensive single
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Quantitative genetic analysis of AMP allelic variation in natural populations Molecular evolutionary and population genetic analysis of AMPs in D. melanogaster and across the genus Drosophila Anticipated
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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data
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of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with
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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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(ATAC-seq, single-cell and single-nucleus RNA-seq, splicing variant analysis) with the sex-determination cascade to dissect how chromatin accessibility, transcriptional regulation, and alternative
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. The successful candidate will combine functional genomics approaches (ATAC-seq, single-cell and single-nucleus RNA-seq, splicing variant analysis) with the sex-determination cascade to dissect how chromatin