28 machine-learning-and-image-processing-"RMIT-University" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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Ref.: 532117 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as
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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed
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grasp of OOP, data structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open source medical imaging
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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absorptiometry, magnetic resonance imaging), and managing large-scale exercise-based randomized controlled trials is an asset. Enquiries about the duties of the post should be sent to Mr Tsang at pongfpt@hku.hk
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to structural biology, protein engineering, machine learning, molecular cloning, in vivo experiments, and/or CRISPR technology. Candidates must exhibit a strong command of written and spoken English, and
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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff