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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
researchers and will have opportunities to lead computational projects, develop new analytical approaches, contribute to manuscripts and grant applications, and generate first-author publications. Current
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research initiatives Your Profile PhD in Immunology, Molecular Medicine, Biology, Biochemistry, or a related discipline excellent publication record, including at least two first-author (or shared first
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. You can read more about the Department of Management at: https://mgmt.au.dk/ Further information The Department of Management offers a stimulating international environment. The department conducts
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sessions of counseling at no cost How To Apply Application instructions: Applications and all supporting materials must be submitted electronically through MathJobs (https://www.mathjobs.org/jobs/list/28797
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contribute as co-author to cross-component publications. Draft two to three policy briefs or public-facing essays translating findings for policy and general audiences. Contribute chapter drafts and analytical
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contribute as co-author to cross-component publications. Draft two to three policy briefs or public-facing essays translating findings for policy and general audiences. Contribute chapter drafts and analytical
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contribute as co-author to cross-component publications. Draft two to three policy briefs or public-facing essays translating findings for policy and general audiences. Contribute chapter drafts and analytical
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publishing experience, at least two publications in peerreviewed journals and a book by a single author; 2. have solid expertise, proven through publications and other associated scientific activities (e.g
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https