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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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College of Architecture, Art, and Planning at Cornell University (Cornell AAP)invites applications for a Postdoctoral Associate as part of the Center’s High Impact Initiative on Just and Equitable Cities We
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(the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop
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; no new applications will be accepted after 2026/02/25 04:59 AM UnitedKingdomTime. Position Description Academic Job Description Department of Natural Resources and the Environment Postdoctoral Associate
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of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and
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responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further
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the following criteria: Prior relevant work or industry experience. Education level to the extent education is relevant to the position. Academic Discipline Unique applicable skills. Employment Assistance
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or at Fermilab’s LHC Physics Center (LPC). Regular travel to CERN is expected. The anticipated hiring salary for this position is $65,000. Applications received before January 1, 2026 will be given full
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responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further
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application Experience in quantitative and qualitative research methods in the social sciences Preferred experience/skills: Knowledge/background in community development in Africa Participatory methods Gender