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supervise data collection and analysis; (c) assist in liaising with collaborators and managing the project procedure; and (d) perform any other duties as assigned by the project leader or her delegates
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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) through advanced computer vision and LVLM integration; (b) overcome technical challenges: innovate solutions for large-scale small-object detection, dynamic lighting adaptation, and edge-computing
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astrophysics, fast radio bursts, gamma-ray bursts, and other branches of high-energy astrophysics are preferred. Both theorists and observers are welcome to apply. Applicants who are in the process of completing
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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have strong background in materials processing technologies, especially for light alloys
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business
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be made on an initial contract of up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used
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(Full-time/Part-time) (two posts) [Appointment period: each for twenty-four to thirty-six months] Duties The appointees will assist the project leader in the research project - “Materials processing
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, reading groups, workshops, and other related research activities; (ii) play a central role in the daily operation of the upcoming new Taught Postgraduate programme(s) offered by the Division of Artificial
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allowance (where appropriate). The appointment start date is flexible. Contract duration is expected to be from one to two years. Application Procedure (online application only) Please click "Apply Now" to