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. This position reports to Steven Fransblow, BSA Chief Data & Technology Office. Minimum Qualifications: Recent Brandeis undergraduate (all majors encouraged to apply, including but not limited to politics
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) to provide benchmark data as well as the quantum technology gravity gradient sensor. This involves close liaison with colleagues across campus, especially as part of QuSIT, partner institutions, project
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
appropriate statistical analyses and curating large data sets as required, and drafting research papers to disseminate the findings of the project. Co-supervising student projects and providing research support
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long-term growth and external funding strategy. The JSB AI Center brings together faculty, students, and collaborators from business, information systems, engineering, computer science, communication
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covered by other funding providers: Further information Further information For further information see: www.daad.de/dlr Application requirements What requirements must be met? At the time of
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. Additional Qualifications Special Instructions Please email Kara your CV, a short description of your research interests, and contact information for 3 references at kara_mckinley@harvard.edu . Selected
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text
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signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered
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, or comparable environment. Strong computer skills, including experience using relational databases, collection management software, and electronic library resources. Experience with digital photography
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on musculoskeletal health in occupational and community settings. Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations. Collect multimodal data via motion-capture