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Classification Title: OPS - Web Accessibility Developer Classification Minimum Requirements: Associate’s degree in an appropriate field and at least 2 years of relevant experience Knowledge of WCAG 2.1 AA standards and web accessibility best practices Experience with HTML, CSS, and accessible...
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(or working towards a PhD) scientist with experience and a track record in machine learning, particularly for applications of deep learning for medical imaging and/or molecular biomarker development, for a
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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09.01.2026 Application deadline: 21.01.2026 The Computational Law Lab at the University of Tübingen is searching for a PhD student / doctoral candidate in Machine Learning (m/f/d; E 13 TV-L, 75
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
holistic philosophy in its delivery of integrated academic advising, learning skills, career development and employment coaching services to students. With a commitment to equity, diversity and inclusion
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Requisition Id 15635 Overview: We are seeking a Research Scientist who will support a growing portfolio of research in cutting edge physics-based machine learning, geophysical modeling, spatial and
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys) School of Mechanical, Aerospace and Civil Engineering PhD Research
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PhD Studentships in Statistics, Data Science and Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview The
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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mechanics, finite element modeling, and scientific machine learning. The RSE will contribute to the design, implementation, and maintenance of open-source software libraries that integrate phenomenological