43 parallel-processing-bioinformatics research jobs at Hong Kong Polytechnic University in Hong Kong
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Department of Applied Biology and Chemical Technology Research Assistant Professor in Bioinformatics for Multi-omics Studies (Ref. 260305004) The Department of Applied Biology and Chemical
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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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Department is available on the departmental website at www.polyu.edu.hk/hti/ . We are looking for a highly motivated personnel with expertise in bioinformatics, neuroimaging, machine learning, mental health
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more than five years of post-qualification experience at the time of application; and (b) strong background in accounting, finance or computer science/natural language processing/machine learning
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qualification; (b) have experience in conducting research, and skills in AI for industrial process modelling; and (c) be proficient in English. Applicants are invited to contact Prof. J. Z. Ren at telephone
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Cantonese; (c) have good teamwork and interpersonal skills; and (d) be proficient in computer skills, including SPSS, Microsoft Office and Chinese word processing. Applicants are invited to contact Dr
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representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
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) design, integrate, and optimise the portable EEG system; (c) assist in EEG/MEG experiment design and data acquisition; (d) process and analyse EEG/MEG data using Python/C++ and deep learning/brain
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project - “Financial support for book writing”. Qualifications Applicants should have: (a) a doctoral degree in Computer Engineering or a related discipline plus at least six years of postdoctoral
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integration; (b) conduct algorithm research and development in areas such as computer vision, multimodal learning and embodied AI; (c) conduct experiments, data collection and performance evaluation; (d