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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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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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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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toward the postdoc's chosen trajectory (academic, industry, or otherwise). Anticipated Division of Time Research design, execution, and data analysis: 70% Manuscript and grant/fellowship writing: 15
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, splicing variant identification, or functional dissection of the sex-determination cascade. • Proficiency in command-line bioinformatics and a scripting language for genomic data analysis (R, Python
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. Anticipated Division of Time Data collection, analysis, and interpretation (70%) The postdoctoral associate will design, execute, and interpret all experiments related to the project in collaboration with other
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). The candidate will also have the opportunity to develop a small outreach project through an ongoing collaboration with the Ithaca Sciencenter. Anticipated Division of Time Data collection, analysis, and
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sequencing data analysis (shotgun metagenomic, and/or metatranscriptomic), microbial metabolomics, or microbial genetics. Experience designing and conducting experiments that probe the relationship between
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or neuromorphic computing, or mixed-signal microsystems. Strong experimental skills in device characterization, electrical measurements, data analysis, and troubleshooting. A Ph.D. in Electrical Engineering