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. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine learning can play a role. The close
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Qualifications/Experience Programme development experience, Engagement with professional community, Research expertise in the areas of: Econometrics, Digital Economics, Application of Artificial Intelligence in
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BNBU now invites candidates for these positions which are expected to be filled in September 2025: Professor/Associate Professor in Computer Science, Mathematics or Statistics Job Description We
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range of fundamental disciplines, including mathematics, theoretical physics, etc. The institute also carries out scientific research plan, project research, discipline construction and other related work
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& RESPONSIBILITIES: Provide strategic leadership to the university regarding enhancing students’ learning experience, and to AoFE and LIFE in programme and projects development for supporting and guiding high impact
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addition to their specified area, the successful candidate must be able to contribute widely to the Undergraduate Programme, including in least two of the following: Introduction to Linguistics: Discourse, English as a Global
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develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain
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mathematics related majors. We have a Ph.D., Program where our graduates receive a PHD from the University of Liverpool. The school is aiming to become a world leading institution in industry and applied
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health to help support our academic programme/research growth and development in this area. Ideal candidates will demonstrate a track record of impactful research contributions in one or more of the
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Job Description Successful candidates are expected to contribute significantly to the faculty program development, and will be responsible in duties including teaching, research, as well as supervision