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Field
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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expected to be: September 16, 2024 This position is expected to be for 12 months. Candidates should have at least an MS in Computer Science and Engineering or a related field and at least a summer of related
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on AI and health data. Position Qualifications: A Ph.D. in statistics, computer science, biostatistics, mathematics, or a closely related discipline must be conferred by the time the position begins
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Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth
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formats). Qualifications Required Qualifications: ● A Ph.D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence
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the aim of developing innovative strategies to improve human health. HT is composed of five Centres: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centres
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, and control of infectious diseases. They will collaborate with other researchers, public health agencies, and stakeholders to provide insights and guidance for disease prevention and intervention
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established connections to applied mathematics, computer science, engineering departments, and beyond. Qualifications Required -Ph.D. in Physics, Astronomy, Computer Science, Applied Mathematics, Statistics
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Position Description The Massive Data Institute (MDI) and the Department of Computer Science seek a postdoctoral fellow to join a project that focuses on responsible AI innovation. The project is led by
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling