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early learning and development. We use a variety of methods – including experiments, naturalistic observations, and surveys – to explore how young children learn from others. We aim to build evidence
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, statistics, or applied mathematics that could drive the frontier of biomedical research. The role will be focused on the development of novel computational and algorithmic methods, with a strong bent towards
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cellular, molecular, and functional genomic techniques in a wide array of marine invertebrate species to interrogate the evolution and development of novel traits. The successful candidate will be expected
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for this position include research and teaching. The Chowla program is designed to maximize the professional development of its participants and provides a research stipend. Initial offers will be made in January
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https://www.ubjobs.buffalo.edu/postings/59721 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position Summary
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 hours ago
in development and writing of proposals and manuscripts, data acquisition, higher-level interpretation of computational results and comprehensive data analysis. These activities may be carried out in
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independently and the initiative to follow new ideas. Motivation to pursue career development opportunities (e.g. applying for Fellowships and Awards, promoting your research, networking, etc.). Strong verbal and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and
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Postdoctoral Fellowship positions scholars to work with a Cornell faculty mentor and an external partner organization. Each Fellow receives individualized and cohort-level support in professional development
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment