61 evolution "https:" "https:" "https:" "https:" "https:" "https:" "BioData" research jobs at THE UNIVERSITY OF HONG KONG in Hong Kong
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information, please contact Professor Stephanie Ma at stefma@hku.hk . Details of Professor Ma’s research can also be found at http://thesmalab.com/ . Information about the School of Biomedical Sciences can be
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@hku.hk . Details of Professor Ma’s research can also be found at http://thesmalab.com/ . Information about the School of Biomedical Sciences can be obtained at http://www.sbms.hku.hk/ . A highly
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through the University’s careers website (https://jobs.hku.hk ) and upload an up-to-date CV, cover letter (not exceeding 300 words), research proposal (not exceeding 1500 words), and writing sample
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professional development. The University only accepts online applications for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload an up-to-date C.V
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philosophy, social philosophy, aesthetics, and other cognate areas). This appointment will be affiliated with the Hong Kong Ethics Lab: https://www.hkethicslab.com . The post-doctoral fellow is expected
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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) We now invite applications for the captioned post. Duties and Responsibilities Assist in a collaborative research project on the development and widespread implementation of a telerehabilitation
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about the School can be obtained at http://sph.hku.hk/ . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits
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, collaboratively, and under pressure For more information about our research directions, please visit our lab website: https://www.sklpb.hku.hk What We Offer The appointment will commence as soon as possible on a 1
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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for