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) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt
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marginalising others, and how these processes contribute to educational inequities. Combining perspectives from educational studies, anthropology, embodiment studies, and critical disability studies, the project
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, or another relevant discipline within the social sciences. We envision that you have experience designing and analysing quantitative, cross-cultural survey research, together with a good understanding of
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 8 days ago
to contribute to the development and scientific exploitation of NASA sounding rocket payloads. The Solar Physics and Astrophysics Branch at NASA Marshall Space Flight Center maintains an active suborbital
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experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You are also expected to interact scientifically with
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every process that involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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postdoctoral position in previous rounds of this competition are not eligible. Very good command of English, minimum B2 level. Relevant publication record. Publications indexed in Web of Science and/or Scopus
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
computer vision and/or audio(-visual) machine learning (e.g., multi-object tracking, speaker/source localisation, multimodal fusion). Experience with deep learning frameworks (PyTorch or equivalent) and