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at the intersection of education, mental health, and developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from
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applications for a non-tenure track Assistant/Associate Research Professor, Biology and Management of Urban Pests. The successful candidate will engage with the national pest management industry and conduct high
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including generous parental leave and the ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your
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engineering or a related engineering program, are encouraged to apply. Duties will include computer-based data collection and data entry. Applicants should be familiar with MS Excel. It is anticipated
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at the Department of Informatics. Starting date no later than December 1, 2025. The fellowship period is three years. A fourth year maybe considered and it will involve 25 percent of other career-promoting work
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research program focused on detection dogs. In this role, you will analyze unprecedented behavioral genomic data, including whole-genome PacBio Revio HiFi sequencing data from over 200 dogs in a multi
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Postdoctoral Associate - Global Labor and Work, ILR Future of Work Program The Industrial and Labor Relations (ILR) School at Cornell University is seeking a Postdoctoral Associate to join the ILR Future of Work
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University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from
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University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from
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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong