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relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | about 1 month ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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data science at the time of hiring Required Other Ability to travel Additional Preferred Experience publishing in peer-reviewed literature and communicating to scientific audiences Experience in energy
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Position Details Position Information Internal Posting? Posting Number SP005285P Position Title Postdoctoral Fellow, Forage Weed Science Division/College College of Agricultural & Life Sciences
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and resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models