Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of expertise in the Department of Communications and Networking: Wireless communications, Optical communications, RF engineering, Sensor networks and IoT, Computer system security, Mobile Computing, Cloud
-
Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have
-
: PhD or equivalent degree in Computer Sciences, Bioinformatics, Mathematics, or a related discipline and ability to demonstrate appropriate teaching experience/potential in the core areas of AI
-
intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
-
research team Team player and strong collaborator Positive attitude and energy Diversity / Sensitivity ESSENTIAL QUALIFICATIONS/EXPERIENCE: PhD or equivalent degree in Computer Sciences, Bioinformatics
-
intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C
-
for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks
-
Information Systems: AI in Business; Business Intelligence; Computer-Based Trading in Financial Markets; Database Management. (2) Preferred teaching areas for Supply Chain Management: Intelligent Supply Chain
-
dissertations. Areas of responsibilities: (1) Preferred teaching areas for Information Management and Information Systems: AI in Business; Business Intelligence; Computer-Based Trading in Financial Markets
-
understanding of approaches to quality enhancement. Strong computer skills, including a high degree of facility with the use of all Microsoft applications and the use of Web 2.0 technologies for educational