88 data "https:" "https:" "https:" "https:" "Dr" "Goethe University" Postdoctoral positions at Duke University
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identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
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data, communicating research findings with project partners, engaging with field partners, and drafting manuscripts. S/he will work closely with Drs. Steve Taylor (Duke), Wendy O’Meara (Duke), Christine
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, a current CV, and contact information for three references. Questions can be directed to Daniel Schmitt (daniel.schmitt@duke.edu). Applications will be evaluated by a search committee, with final
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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about the Duke Center for Jewish Studies may be found at https://jewishstudies.duke.edu . Further information about post-doctoral services at Duke may be found at: https://postdoc.duke.edu/ . Previous
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ KEY RESPONSIBILITIES: RESEARCH
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to Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/31723 . Candidates should also include the names and contact information for three individuals who would be willing to provide letters
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sites; (20%) • Conduct analytical work at Duke labs to analyze the chemical and isotopic compositions, of rocks, waste rocks, tailings, groundwater, surface waters; (30%) • Evaluate data, write