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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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involving optical imaging, ultrasound systems, and/or contrast agents Develop computational models and reconstruction algorithms for imaging systems Analyze experimental data and prepare manuscripts
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off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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) for Computational Biology and Bioinformatics are available in the Qiu lab at the University of Illinois at Chicago (UIC). Dr. Yuchi Qiu (https://yuchiqiu.github.io ) is a tenure-track Assistant Professor in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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Postdoc Appointment Term: Rolling Applications Group or Departmental Website: https://med.stanford.edu/pain/medical-training/postdoc-fellowship.html(link is external) How to Submit Application Materials: We
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work is robustly extending genomic discoveries into under-represented populations, as well as improving portability of genetic risk prediction algorithms into the same populations in anticipation