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subject to satisfactory performance and funding availability. Applicants should hold a PhD degree or equivalent in the areas related to Communication, Journalism, Media Studies or other related fields
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Researcher (R3) Country Hong Kong Application Deadline 21 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
to work independently and interdependently 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 considered for appointment as a
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Kong Application Deadline 31 Dec 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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. Contribute to supervision of students and assist in project development. Requirements A Ph.D. in Remote Sensing, Environmental Science, Marine Science, Computer Science, or related fields (obtained within
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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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- 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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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
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field validation. Publish research in leading peer-reviewed journals. Contribute to supervision of students and assist in project development. Requirements A Ph.D. in Remote Sensing, Environmental Science
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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