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at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development.
Tasks of the PhD Student
- Develop -
, quantitative imaging, machine learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector
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> on research projects related to kinetic equation and its related multiscale model reduction, numerical method, and data-driven/machine-learning approaches, including: • Numerical simulation of kinetic
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
York University Abu Dhabi, seeks a Post-Doctoral Associate or a Research Associate to join a lab focused on applied machine learning. The successful applicant will participate in research involving human
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
York University Abu Dhabi, seeks a Post-Doctoral Associate or a Research Associate to join a lab focused on applied machine learning. The successful applicant will participate in research involving human
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instance, and available immediately. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning
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-edge research in spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine
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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the
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machine learning on microcontrollers and embedded processors Development of hands-on laboratory exercises and demonstrators Supervision of Bachelor and Master projects Co-supervision of PhD students Support
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Engineering with no more than five years post receipt of the PhD. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development