254 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions in United Arab Emirates
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working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems
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, and machine learning experience; and (c) some research publication experience. Knowledge of Arabic language is preferred, but not required. Previous work on Arabic NLP is preferred but not required
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Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision frameworks and tools (e.g., OpenCV, PyTorch, TensorFlow). Strong commitment to excellence in teaching and
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2026. For full consideration, applications must be received by March 30, 2026. Apply at https://acg-apps1.aus.edu/cas/empapp/apply.php?p=MTH-26-03 . Applicants with research interests in data science or
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, as well as educational support for families. Prospective candidates for the position must submit the following items online through the link https://apply.interfolio.com/176837 in PDF format: cover
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seeks to appoint an Associate Research Scientist. Motivated applicants with a strong background in Machine Learning, Robotics, Haptics, and interest in leading cross-disciplinary research to study
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comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support
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Junior Research Scientist in the Center for Quantum and Topological Systems (CQTS) – Dr. Hisham Sati
arises. Applicants must have a Bachelors in one of the following: Computer Science, Computer/Electrical/Communication Engineering, Mathematics, Physics. For consideration, applicants need to submit a cover
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activities. UAE Nationals are encouraged to apply. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://apply.interfolio.com/174658 . Contact: Pierre Youssef
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or willingness to learn quickly. Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model