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comfortable and proficient with statistical software such as STATA, and advanced programming languages. The candidate will be a member of the ACI research team, working under ACI Director, Professor Paul Cheung
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discipline, with a strong emphasis on AI and data science. Experience with machine learning techniques and statistical analysis. Familiarity with medical data types, such as neurophysiological data, sensor
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. Experiences in AI and data analysis are essential. Entry Level candidates are welcome if their PhD theses are in the field. Strong background in machine learning, statistics, and computational modeling
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or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field Applied experience with statistical modelling (hypothesis testing), machine
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of doctoral/postgraduate research students. Job Requirements • Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines. • Has good understanding
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contacted. Job Requirements • Possess a PhD degree in Civil Engineering or Materials Engineering with demonstrated experience in designing and conducting experiments, performing statistical data analysis
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the use of statistical software, to monitor and evaluate the activity and impact of the service, making strategic recommendations for change. The role will also oversee the day-to-day processes of
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at the undergraduate and postgraduate level Job Requirements: PhD degree in a Computational or Statistics field Strong track record of research publication, commensurate to career stage Evidence of
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. Qualifications: •Doctorate’s degree in computer science, Data Science, Engineering, Statistics, or a related field with a strong emphasis on AI and machine learning. •Demonstrated experience in the development and
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quantitative research methods Proficiency in a statistical package (e.g., SPSS, R, Jamovi) preferred Clinical or research experience in the mental health field is preferred, but is not necessary Responsibilities