14 image-processing Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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Polytechnic University dedicates to pioneering research at the forefront of brain imaging and genetics, leveraging AI technology to analyse large datasets and uncover insights into brain aging and
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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prototype development and laboratory testing; (e) analyse test data and iterate designs; (f) publish top-tier academic papers; and (g) perform any other duties as assigned by the project leader
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of the above-mentioned disciplines. For both posts, applicants should have research experience in either in vivo/in vitro animal studies, Bio-FET, nanomaterials, medical imaging or AI. Preference will be given
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academic background in either Hospitality / Tourism Management or Computing / Information Science (e.g., Computer Science, Human-Computer Interaction, AI); (b) demonstrate a solid research trajectory and
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years of post-qualification experience at the time of application; (b) have substantial research and grant writing experience; (c) be proficient in computing, machine/deep learning, and/or
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, EndNote, NVivo and other Microsoft Office software, including Chinese word processing or web design/development; (c) have a good command of both written and spoken English; (d) have good interpersonal
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(d) assist the research team in daily operation; and (e) perform any other duties as assigned by the Head of Unit or his/her delegates. Qualifications Applicants should: (a) have a doctoral
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The appointees will assist the project leader in the research project - “Research centre for non-invasive brain computer interface”. Qualifications For the post of Postdoctoral Fellow, applicants should have a
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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