27 computer-processor-phd "https:" "Computer Vision Center (CVC)" PhD positions in Hong Kong
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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teaching duties. Requirements: Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct
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the Department. He/she is also expected to perform group-based high-impact research and undertake some teaching duties. Requirements: Applicants should possess a PhD degree in Computer Science, Computer
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motivated applicants for PhD positions in the Astro & Particle Physics group of Yi-Ming Zhong (https://inspirehep.net/authors/1288248 ) at the Department of Physics, City University of Hong Kong, starting
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Smart Cities and Urban Informatics (Ref. 251208008) The Department of Land Surveying and Geo-Informatics (LSGI) is
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Climate Resilience / Urban Sustainability / Global Change Ecology
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, please visit the website at https://biol.hkbu.edu.hk/people/academic_staff_detail/92/ . Requirements: Applicants should possess a PhD degree. Ideal candidates should be highly motivated with a strong
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Space Science (Ref. 251211003) The Department of Land Surveying and Geo-Informatics (LSGI) is widely considered as a
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability