106 data "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions at Cornell University
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members and be responsible for contributing to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population
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the opportunity to work with data from, and contribute preparatory work to, major facilities across the electromagnetic spectrum including the Zwicky Transient Facility, the Rubin Observatory, ULTRASAT
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recommenders that may be contacted as a reference after initial screening. Application submissions as well as additional information on pay range can be found: https://academicjobsonline.org/ajo/jobs/30625
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. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/ 30767). Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three
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analyzing and preparing data for presentation 10% of the employee’s time will involve the mentoring of undergraduate or graduate students 10% of the employee’s time will involve professional development
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library preparation, and analyze microbiome data. The candidate will also perform quantitative trait loci (QTL) analysis and is expected to summarize and present results both within the lab and at
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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tools; synthesize partner data; occasional site visits across NYS. Publications & Dissemination (15%) – Lead/assist manuscripts and conference papers. Mentoring & Project Coordination (5%) – Mentor
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link: https://academicjobsonline.org/ajo/jobs/29563 Questions should be directed to Dr. Julia Finkelstein at: jfinkelstein@cornell.edu Employment Assistance: For specific questions about the position
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of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software for advanced data analysis and/or experimental control (e.g., Python