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Computer Science Abroad Computer Science Abroad @computerscienceabroad · 4.94K subscribers
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Информация от подписчика😎


В MBZUAI (ОАЭ) открыто сразу несколько интересны PhD и MSc позиций.

🔹Стипендия: 10 000–17 500 AED/мес + медстраховка.
🔹Дедлайн: 15 декабря
🔹Старт: осень 2026

Maxim Panov — Theory of ML, Uncertainty & Bayesian Methods

🔎 Looking for: students with strong math background, keen on theoretical ML.
📚 Research areas: uncertainty quantification of ML model predictions; Bayesian machine learning; graph analytics; theory + practical applications (e.g. computer vision, NLP).

🔗 Google Scholar: https://scholar.google.com/citations?user=BqDhGJQAAAAJ

Qirong Ho — High-Performance ML Systems & Large-Scale Training

🔎 Looking for: MSc/PhD applicants (CS or EE) interested in parallel training, distributed systems and ML infrastructure.
📚 Research areas: fast parallel systems for LLM post-training, RL and inference; scalable large-model training/inference infrastructure.
🔗 Google Scholar: https://scholar.google.com/citations?user=tR3AZbwAAAAJ

Salem Lahlou — Amortized Inference, GFlowNets, Probabilistic ML & RL

🔎 Looking for: PhD candidates with math + coding skills and interest in probabilistic modeling / RL.
📚 Research areas: amortized inference including GFlowNets; learning complex distributions; reinforcement learning; generative modeling / uncertainty-aware decision making.
📩 Contact: salem.lahlou@mbzuai.ac.ae

🔗 Google Scholar: https://scholar.google.com/citations?user=xLSkCrIAAAAJ

Raúl Astudillo — Bayesian Optimization, Active Learning, UQ, AI for Science

🔎 Looking for: students strong in math & programming, interested in data-efficient ML under uncertainty.
📚 Research areas: Bayesian optimization; active & adaptive experimental design; uncertainty quantification; generative models; decision-making under uncertainty & AI for science.
🔗 Google Scholar: https://scholar.google.com/citations?user=r1Jkj7MAAAAJ
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