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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
organizational skills and the ability to work independently and collaboratively within a team on a tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be
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-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related
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highly motivated researcher with a PhD degree in economics or a related discipline, specializing in labor economics, trade, development, or political economy. The ideal candidate will have substantial
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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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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be considered for appointment as a Senior Research Assistant. The appointee will work closely
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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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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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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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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling
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performance. Applicants should possess a PhD degree in biological sciences or related fields, with expertise in bioinformatics and biostatistics, and a proven research track record on analysing viral evolution