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education. Fellows may engage in observational, instrumental, theoretical, laboratory or archival data research in any area of astronomy or astrophysics, in combination with a coherent educational plan for
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of large-scale, nationally representative education surveys using Qualtrics, ensuring methodological rigour and high-quality data collection. Initiate, design and conduct quantitative research using advanced
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and experimentally and clinically implement mechanistic and AI based algorithms Support the acquisition and analysis of clinical data, and imaging, software and equipment infrastructure contribute
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 16 hours ago
, follow us on social media at Instagram and Facebook For further information please contact, Dr Charlie Crimston, T: +61 2 6125 2796, E: charlie.crimston@anu.edu.au ANU values diversity and inclusion and
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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sustained research trajectory in addiction health services research and policy evaluation. Responsibilities Design and execute advanced quantitative analyses using large secondary administrative health data
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, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
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of the following: chronic neural recordings in freely behaving animals, high resolution behavioral tracking, optogenetics, and data analysi.. All candidates must have received a Ph.D. in a relevant
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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excellence in field-based hydrodynamics, water quality, groundwater, and meteorological monitoring, supported by significant specialist equipment and boat-based data collection. The School of Civil Engineering