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Posting Details Position Information Job Title Artificial Intelligence (AI) Research Scientist (25 Hours/12 Months) Posting Number S1723P Pay Range Compensation for this position is expected to be
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annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary
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time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information To learn more about the College of Engineering's strategic vision, visit: http
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At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with
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subject to continued funding, performance and operational requirements. Regular workplace attendance and occasional UK or international travel may be required. Further information is available at : https
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information to society at large; be able to teach in Swedish within four years; be able to participate in discussions with colleagues and stakeholders in the sector, as well as carry out administrative duties
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. Applied machine learning in production, including entity resolution and normalization, anomaly detection, predictive modeling, and feature engineering. Large-scale data engineering, including high
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systems such as GitHub. E12. Experience in running hackathons, data study groups, software upskilling tutorials or similar events. Desirable: F1. Experience of working on large software projects involving
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qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
: Design, develop, and maintain large-scale clinical-data centric research databases and informatics resources that support clinical and health research. Build and optimize data integration, transformation