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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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an interdisciplinary program that brings together Warwick Medical School and partners from the School of Engineering and Industry, combining machine learning and computational modelling to solve a
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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computational specialist to support research and clinical projects involving image analysis, data science, machine learning, and AI. The individual will work with basic scientists, clinicians, and trainees
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vision, navigation and planning. Some of your key responsibilities include: Developing software that can be deployed to UAVs. Carrying out research relevant to the above, in particular in the space of AI
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operations across multiple departments. Transforms manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI
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deep learning frameworks is preferred. Familiarity with computer vision, deep learning, or statistical learning methods. Experience with scientific programming, data analysis, or software development in
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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and digital learning resources. This position requires a strong commitment to teaching legal research and technology skills essential to the practice of law, and a deep understanding of the Law School’s