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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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. This project aims to develop scalable, textile-based wearable devices for real-world joint motion tracking, enabling continuous and unobtrusive monitoring of movement in clinical, rehabilitation, and everyday
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. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
: PD&PEWER Level A&B Postdoctoral - Research Fellow _ CSS.pdf This position will provide opportunities to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited
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of the position is to pursue cutting-edge research in automata theory, and possibly at the interface with algorithms (fine-grained complexity). We will consider applications for employment on a part-time or other
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
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: ………………………………………………………………….………………………………… The selected research fellow will: Design and implement randomized field experiments and/or quasi-experimental studies in collaboration with external partners such as IEFP; Contribute to the development
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using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and
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Postdoctoral Fellow for Cardiovascular Development and Regeneration - (210000BE) Postdoctoral Fellow for Cardiovascular Development and Regeneration A Fulltime Postdoctoral Fellow position is
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), on February 21st, 2024. These Doctoral Research Fellowships are intended for candidates who meet the necessary conditions to enrol in any NOVA’s Doctoral Programme, and who wish to develop research activities