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develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including SPSS and R, for large and complex data analysis Proven knowledge
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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position is supported by a National Institute on Drug Abuse-funded R01 award. The position involves contributing to a dynamic team engaged in developing and applying a combination of statistical analyses and
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desirable For computationally focused candidates: proficiency in a scripting language (e.g., Python, R) and experience analyzing next-generation sequencing data; experience with statistical modeling
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microscopy, cell culture) and molecular biology techniques (e.g. RT-qPCR, Western blot), as well as statistical analysis methods; Good command of English (spoken and written). In addition, we expect: A
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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in Cantonese is required) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and good
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institution. · Good practical and theoretical knowledge of MRI imaging techniques · Experience in conducting research on a high-field system · Previous experience in the application of statistical methods
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Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (29 ) Affirmation I certify
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statistical software (e.g., SPSS, STATA, R), and ensuring compliance with international standards. He/She must demonstrate strong English communication skills and be able to understand Chinese, preferably