178 data-"https:"-"https:"-"https:"-"https:"-"ETH-Zürich" research jobs at Hong Kong Polytechnic University
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machine learning. There are currently 54 academic staff and about 105 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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(b) be proficient in data programming for data collection, textual analysis (Python, Stata or SAS) and English reading. Applicants are invited to contact Prof. Lisa C. Z. Sun at telephone number
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from school to work”. He/She will be required to: (a) assist in project implementation, including preparation of project materials, literature review, data collection, data entry and analysis as
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Psychology, Cognitive Neuroscience or other related disciplines; (b) be proficient in computer programming, e.g. Matlab and R; (c) have a good command of both written and spoken English; and (d) have
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the longitudinal healthy longevity study: Objective health measures and cancer awareness screening”. He/She will be required to: (a) assist in the general management of the project; (b) assist in data
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based on Python and FastAPI; (d) assist in the design, optimisation, and maintenance of PostgreSQL databases to ensure efficient data storage and access, and integrate search engine technology to meet
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stations to support on-site data collection, including both quantitative and qualitative data; (b) coordinate recruitment of patients, screening, health assessment and follow up; (c) support the CCAF
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large