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        <description>*  Years of backpacking experience to more than 30 countries 

	*  Love hiking and climbing mountains

	*  Group travel planner and organizer for more than 10 years 

	*  A member of the stray dog rescue

	*  A sponsor of World Vision International in support of children’s education</description>
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	*    2023-2024 Oracle for Research Cloud Grant: 
		*  Unlocking the Mysteries of Sleep Disorders: Personalized Diagnosis and Treatment with Oracle's Cutting-Edge Technology. 
		*  40,000 AUD (Award Number: CPQ-2994156)

	*  2012-2014 Japanese Grants-in-Aid for Scientific Research (日本科學研究費助成事業)</description>
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        <description>ChienHui Kao (Tancy)

Email: kchui2008 at gmail.com 

Linkedin: &lt;http://bit.ly/1p31fP8&gt;

ResearchGate: &lt;https://www.researchgate.net/profile/Chien-Hui_Kao&gt;

GitHub: &lt;https://github.com/TancyKao&gt;</description>
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        <description>*  Doctor of Philosophy (PhD), Department of Psychology, National Taiwan University, Taipei, Taiwan, Jan 2011

	*  Master of Science (MS), Department of Psychology, National ChengChi University, Taipei, Taiwan, Jun 2001</description>
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	*  Lam AKF, Carrick J, Kao CH, Phillips CL, Zheng YZ, Yee BJ, Kim JW, Grunstein RR, Naismith SL, D'Rozario AL. Electroencephalographic slowing during REM sleep in older adults with subjective cognitive impairment and mild cognitive impairment. Sleep. 2024 Jun 13;47(6):zsae051. doi: 10.1093/sleep/zsae051. PMID: 38394454; PMCID: PMC11168761.</description>
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 Position       Course        Responsibility           Period  Mentor  “MATLAB Programming”  in Infant Perceptual Developmental Lab, Graduate Institute of Biomedical Sciences, China Medical University  Teaching graduate students programming using MATLAB to design experiments and analyze neuroimaging data, such as MEG and fMRI two hours weekly.</description>
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        <description>Data Scientist/Senior Research Data Scientist | WOOLCOCK INSTITUTE OF MEDICAL RESEARCH, SYDNEY UNIVERSITY, SYDNEY, AUSTRALIA 2018/07 - current

Developing cutting-edge machine learning models to diagnose patients with sleep problems by fitting them to multi-modal biometric data, such as high-density EEG, MRI, clinical diagnosis and diary data.</description>
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