84 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Cornell University
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high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to well as part of a team. • Excellent organizational, communication and time management skills
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(or a similar system). Prior experience with lipid biochemistry is preferred but not required. Application: The following documents must be uploaded when applying through Academic https
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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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) description of research interests and should arrange for three letters of reference to be submitted through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31243 . All materials should be
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submit all required application materials (see list below): https://academicjobsonline.org/ajo/jobs/31185 Review of applicants will begin as soon as December 1, 2025, and will continue until the position
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health interactions To apply: Application materials must be submitted on-line through AcademicJobsOnline at: https://academicjobsonline.org/ajo/jobs/31410 Through this website, applicants are to submit a
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Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30970 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three references via the website
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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 experimental high
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of African Studies and Cornell more broadly by working on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage
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, systems or molecular biology or related fields. A track record of independence, and a high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to well as part