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candidates who are excited to build and analyze language models that go beyond standard scaling approaches, including work such as: Inductive bias and learnability, especially structural biases rooted in
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surfaces and when actively driving a soft sheet near a wall. Essential to the projects is developing a new understanding of the fluid-structure interactions, that is to say, the coupling between hair’s
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and the seventh century CE: https://www.nottingham.ac.uk/news/research-on-early-british-voices-and-identities. This project will use datasets previously curated by team members which will be
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equity for youth of color and their families using community engaged practices. The CHANGE lab, which is housed in the IHESJR, has areas of focus ranging across individual, community, and structural levels
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representations and translated into written language. Your work will sit at the interface between sensor data, sign language structure, and NLP, enabling end-to-end sign language translation that goes beyond simple
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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period at the University of Oslo. Place of work is Department of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex
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] Subject Areas: Physics / Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Condensed Matter
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. A6 Proficiency in Configuration file formats YAML/TOML. A7 Working knowledge of Git including Gitlab and its CI/CD structure. For appointment at Grade 8: A8 Some reputation in, and insight