24 associate-professor-computer-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions in Hong Kong
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Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit the website at https://www.polyu.edu.hk/dsai/ for more information about DSAI. Duties The appointee will be required to: (a
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or
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-temperature geochemistry. This is a unique opportunity to help establish and manage cutting-edge analytical facilities in a dynamic research environment. Key Responsibilities Work closely with Professor Nicolas Dauphas
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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-motivation are essential. The appointee will work on the research area of “Luminescent and Optoelectronic Materials” under the supervision of Professor V.W.W. Yam. Enquiries about the post should be sent
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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic
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capacity to thrive in an interdisciplinary team setting. Enquiries about the post should be sent to Professor Shikang Liang at shikang@hku.hk . A highly competitive salary commensurate with qualifications
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about the post should be sent to Professor Shikang Liang at shikang@hku.hk . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and
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with external parties. Preference will be given to those with experience in managing projects and/or writing academic reports. The appointee will assist the Principal Investigator (Professor Sally Cao
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection