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: Monday – Friday, 8 a.m. – 5 p.m. Summary The Michael E. DeBakey Department of Surgery is seeking a Research Associate to implement and maintain the ATLAS (Applied sTatistics and machine Learning
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of visualisation, machine learning, and human-computer interaction under the joint supervision of both institutions. The position is shared by TU Wien and USTP and offers the opportunity to conduct research at both
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
(SHRA) Position Title UTS - Temporary Computer Technician- Inspection and Customer Support at UNC Chapel Hill Position Number Vacancy ID S026725 Full-time/Part-time Full-Time Temporary Hours per week Work
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, SAP Required Other Computer Applications: Required Additional
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University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 2 days ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project
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package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https
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practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data
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of Pharmacy, UCC, led by the Professor of Pharmaceutics, Brendan Griffin is aiming to develop Artificial Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical