111 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" Postdoctoral positions at Cornell University
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collections is expected. Applications should be submitted through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31588 . A complete application includes the following material: Curriculum vitae
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apply: Application materials must be submitted on-line through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/30294 Through this website, applicants are to submit a curriculum vitae
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support for the Postdoctoral Associate’s projects, and mentoring undergraduates in independent projects. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31538
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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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. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31583 Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three
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humanistic questions. We anticipate that the Postdoctoral Associates will teach one seminar per year, which is one section of SHUM 2750 Introduction to the Humanities in the spring term. As well, we expect
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, synthetic, 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
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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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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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social science research on solar facility siting processes in New York State. This sponsored research project includes collaborators from institutions across the U.S. to examine 10 proposed solar projects