38 high-performance-computing Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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: each for twelve months] Duties The appointees will assist the project leader in the research project - “Development of high-strength fishing lines with ultrahigh molecular weight polyethylene
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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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Department of Management and Marketing Research Fellow (Ref. 250606007) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research project - “Tackling diversity, equality and inclusion challenges using a machine learning...
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research experience normally of at least eight years’ duration, high level of academic achievement and good record and reputation as a competent researcher. Applicants for the Senior Research Fellow post
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Applicants for the Principal Research Fellow post should have a doctoral degree plus substantial postdoctoral research experience normally of at least eight years’ duration, high level of academic achievement
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) a good background in Chemistry, Biology, Information Science or a related discipline; (b) a good command of written English; and (c) good communication skills and ability to work independently
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Department of Management and Marketing Postdoctoral Fellow (Ref. 250528014) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research project - “Reviewing the emotion-focused work implications of artificial...
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250502015) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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) conduct experimental work and make characterisation; and (b) perform any other duties as assigned by the project leader, Dean of School or their delegates. Qualifications Applicants for the Research
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety