67 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Hong Kong
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. Requirements A Ph.D. degree in the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as
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and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as Stata or R Excellent command of written and spoken English A demonstrated record of
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to tracy.tsoi@hku.hk . Duties and Responsibilities Coordinate and implement projects with industry partners Manage laboratory operations and facilities, and support research projects conducted by PhD students and
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. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
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possess a PhD degree or equivalent in Social Science, Psychology, Public Health or other related disciplines with at least 2 years of post-bachelor's work experience. Applicants for Senior Research
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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research
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in project management, ethics applications, and supervision of junior researchers. Requirements: A PhD degree in Social Sciences. Strong analytical skills and proficiency in statistical software and
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for biomedical applications. Please find the relevant information about the research group at https://sites.google.com/view/sjwanghkbulab/home . Requirements: A PhD degree related to organic optoelectronics
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 531279 Work type: Full
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 531282 Work type: Full-time Department: Centre