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罗文大学博士研究生招收启事
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Dr. Xiajun Jiang is looking for highly qualified Ph.D. students interested in the development of adaptive machine learning, with an emphasis on integrating physics into deep learning and its applications in health care. All Ph.D. positions will be fully funded. Students with a background in computer science, computer engineering, electrical engineering, applied mathematics/statistics, or related areas are welcome to apply. Candidates are expected to have: 1. Strong background and interest in mathematics and statistics. 2. Experience with programming using Python, C++, Matlab, or related languages. 3. Good communication and collaboration skills. Applicants are encouraged to send me CV, transcripts, and a brief description of research interests to jiangx [at] rowan [dot] edu with the subject line "Prospective PhD Student [your name]". Personal website: https://john-x-jiang.github.io/ Selected research areas 1. Physics-informed neural network 2. Geometric deep learning 3. Electrocardiographic imaging 4. Personalized virtual hearts About the school Rowan focuses on practical research at the intersection of engineering, medicine, science, and business while ensuring excellence in undergraduate education. The University has earned national recognition for innovation; commitment to high-quality, affordable education; and the development of public-private partnerships. A Carnegie-classified R2 (high research activity) institution, Rowan is the nation’s third fastest-growing public research university, as reported by The Chronicle of Higher Education. For more information about the program and application, please visit the program introduction and admission requirements |
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