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as a role model for less experienced course assistants. Responsibilities : Delivering and preparing materials for tutorial classes; Assisting course instructors in conducting in-class exercises
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should apply online and upload an up-to-date C.V., a research statement and a teaching statement, and state the contact information of three referees on the online application form. At least one of the
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Senior Lecturer/ Lecturer/ Assistant Lecturer in the HKU Institute for Climate and Carbon Neutrality
Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 20 Apr 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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28 Mar 2026 Job Information Organisation/Company LINGNAN UNIVERSITY Research Field Language sciences Literature Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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the University, please visit the website at https://www.polyu.edu.hk/hro/docdrive/careers/doc/Prof.pdf . Consideration of applications will commence on 25 April 2026 until the positions are filled. Apply Now
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supervision; (d) supervise doctoral students; and (e) direct and manage programmes. Applicants should complete the online application form and upload a full curriculum vitae with details of three referees
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Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start from April 15, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier
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online application for the above post. Applicants should apply online and upload an up-to-date C.V., and contact information of 3 referees should be provided in the application form. Review of applications
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Section and the Head of the Language Centre. Applicants should possess a bachelor’s degree in Applied Linguistics/Linguistics, English, TESOL or Language Studies and a master’s degree in a related
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course