50 parallel-processing-bioinformatics-"https:" research jobs at Hong Kong Polytechnic University
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the project leader in the research project - “Detecting stigma evolution in social media and doctor-to-patient conversations: A natural language processing approach”. He/She will be required to: (a) assist
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control in complex industrial processes”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at least three years of postdoctoral research experience or equivalent
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the University and Boeing research agreement. They will be required to: (a) develop machine learning-based image processing algorithms for surface condition recognition, defect detection, and digital feature
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/ Research Assistant [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Research on advanced extrusion process for stiffened wide
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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discipline or an equivalent qualification; (b) strong hands-on skills in multiple fields including polymer processing, microfabrication, mechanical design and fabrication, textile manufacturing, electrical
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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processes and material characterisation/assessment; (b) excellent communication skills; (c) the ability to work effectively in a team; (d) strong motivation with a proactive attitude; and (e
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, catalysis or energy-related chemical processes; and / or (iii) ability to work independently and as part of a multidisciplinary team. Applicants are invited to contact Prof. Cheng Song at telephone number