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, machine learning, analysis of unstructured and multimodal data, or advanced quantitative methods and use of AI in communication studies will have an advantage. The appointee will assist in a General
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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and
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measurements of indoor environmental quality (IEQ), energy simulations, and machine learning modelling; (b) strong analytical and problem-solving skills, with the ability to conduct research independently
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
of Education (Ref.: 533113). To commence from as soon as possible to 31 August 2027 Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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as soon as possible for one or two years on temporary term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in
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biochemistry approaches, under the supervision of Dr. Karen Yuen (kwyyuen@hku.hk ). We are looking for a PhD in the above subject area and a proven track record of productivity. Experiences in microscopy
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PhD in the above subject area and a proven track record of productivity. Experiences in microscopy, genomic, and bioinformatic analysis will be an asset. Duties and Responsibilities Perform independent
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. Qualifications and Experience possess a PhD in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid