Generative graph modelling for anomaly detection
Macquarie University
Macquarie University offers two fully funded international PhD scholarships in generative graph modelling for anomaly detection.
Hamad bin Khalifa University
Hamad Bin Khalifa University’s Office of the Vice President for Research is accepting proposals for the 2026 Horizon Hub Workshop Series, which supports research- and innovation-driven workshops and symposia in Qatar aligned with HBKU and Qatar Foundation research priorities.
These costs are not addressed in the funding information captured from the provider. That does not mean they are excluded — it means nobody has stated either way. Budget for them, and confirm on the official source.
Develop a workshop or symposium proposal aligned with HBKU priority research areas and involving at least two HBKU entities.
Prepare the required agenda and application materials using the official templates.
Submit the application by 1 September 2026 through the route provided on the official HBKU call page.
This record was checked against an official provider source. Confirm the final requirements and application route on the official website before applying.
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Not yet recorded from an official source: detailed eligibility (two or more stated criteria), eligible nationalities, itemised funding breakdown (each component listed separately), required academic background, language requirements, work-experience requirements. Unknowns are stated rather than filled with generic advice.
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Macquarie University
Macquarie University offers two fully funded international PhD scholarships in generative graph modelling for anomaly detection.
University of Pretoria
Open 2027 recruitment bursary for South African students in computing and related fields who meet the academic, internship and future employment availability requirements.
United Arab Emirates University
United Arab Emirates University seeks a postdoctoral research fellow in the Computer and Network Engineering Department for an advanced AI project spanning deep learning, Vision-Language Models, Large Language Models, multimodal learning, computer vision, generative AI, reinforcement learning, optimization and explainable AI.