75 structures "https:" "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" Postdoctoral positions at Cornell University
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machine learning and network biology. Background in cancer research. Pay Range: $62,232.00 - $81,000.00 To apply visit https://academicjobsonline.org/ajo/jobs/31509 and submit a cover letter, full CV, and
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to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and
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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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on Just and Equitable Cities (https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1
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Jobs Online: https://academicjobsonline.org/ajo?joblist---5523-31331-p Required application materials: (to be submitted electronically) (1) a letter of application, including discussion of how you
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with the research themes and goals of the NTO. To apply: https://academicjobsonline.org/ajo/jobs/31443 Files to submit: Applicant’s CV Applicant’s transcript showing proof of PhD; or intended completion
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: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31381 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three
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research leader in engineering, informatics, public health, or health systems science To apply: Application materials must be submitted on-line through AcademicJobsOnline at: https://academicjobsonline.org
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AcademicJobsOnline at: https://academicjobsonline.org/ajo/jobs/31410 Through this website, applicants are to submit a cover letter describing research interests and how their expertise fits this position, curriculum
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modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas for migratory forest