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experience, links with accreditation bodies and a recognised HE teaching qualification. Additional information You can apply for the role clicking the 'Apply' button above. To complete your application you
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The Chief Architect of Centre of Excellence(CoE) for High Performance Computing and Data Science will serve as the principal architect of DSU’s B200 supercomputing infrastructure, ensuring it
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
or senior professors from world-class universities. Recruitment Information: https://english.pkusz.edu.cn/info/1061/2172.htm PKUSZ: https://english.pkusz.edu.cn/index.htm PKUSAI4S: https://ai4s.pkusz.edu.cn
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The role We are seeking a committed and enthusiastic Teaching Associate in Financial Technology with Data Science to join our academic community. You will contribute to delivering high‑quality
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, engaging students and supporting their academic development. What will you be doing? In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act
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will be the primary criterion for selection. Further information about the institute can be found at ksom.res.in . Eligibility Applicants must hold a Ph.D. and have at least three years of postdoctoral
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identification. This work will involve the analysis of large-scale, multi-modal datasets, including genomic/multi-omic data (short- and long-read based), imaging and health records, using state-of-the-art data
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high-performance computing and AI, the Chief Architect will drive innovations in computer vision, graphics, NeRF-based systems, and real-time spatial intelligence. Beyond research, the role emphasizes
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning