846 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions at Cornell University
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to explore or work in NYC while enjoying the “Ithaca is Gorges” lifestyle. For more information, go to: https://www.vet.cornell.edu/departments/clinical-sciences/employment-opportunitiesor or contact: Dr
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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at https://academicjobsonline.org/ajo/jobs/31646 . For full consideration, ensure that your application is complete by February 28. Review of applications will begin immediately and continue until
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via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31619 . Qualified candidates should submit a 1-page cover letter, curriculum vitae, and contact information for three references via
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well as standing and sitting for long periods. Outstanding communication and teamwork skills. Demonstrated ability to create and maintain complex databases of information. Ability to plan, originate, organize, and
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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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unique opportunities to implement innovations for udder health data mining, assessment, and management, which allows for personal growth and development. The successful candidate is expected to work
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, and experience. For more information, please contact Dr. Andrew Miller, Chair of the Search Committee, at andrew.miller@cornell.edu. Prospective candidates should upload their application materials
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responsibilities.) IMPORTANT INFORMATION FOR APPLICANTS: PLEASE READ BEFORE APPLYING All applicants must complete an application packet, which includes: cover letter, resume and three (3) references. All External
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professionals direct twelve world-class, mission-driven programs. The Center for Avian Population Studies (CAPS) is one of the major programmatic units at the Lab, collecting and disseminating biodiversity data