92 computer-architecture-phd positions at Hong Kong Polytechnic University in Hong Kong
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the project leader in the research project - “A comprehensive architectural strategy for enhancing indoor environmental quality towards carbon neutrality at Hotel ICON”. He/She will be required to: (a
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250827014) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research
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Applicants should have: (a) a bachelor’s degree or above in Architecture, Engineering, Urban / Housing Studies, Management, Social Sciences or a related discipline; (b) demonstrated ability to conduct
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development of computer programmes for numerical computation of electromagnetic field and software architecture. Applicants are invited to contact Prof. Shuangxia Niu at telephone number 2766 6183 or via email
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methods for sparse optimization”. Qualifications Applicants for the Senior Research Fellow post should have a PhD degree, preferably in Mathematics with at least six years of postdoctoral research
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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children; and (d) ideally desire to pursue further study (PhD or MA/Master of Speech Therapy) and would like to accrue some related research experience before starting his/her further study. PhD
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responsibility. Preference will be given to those with interest and potential in pursuing a PhD in Innovation Management. Applicants are invited to contact Prof. Ryan Wang at telephone number 2766 7357 or via
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, Computer Science or equivalent; (b) have research experience in computer vision, 3D reconstruction and robotics; and (c) be proficient in mainstream research frameworks for deep learning and computer vision