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Join an ambitious, multidisciplinary project at the crossroads of interaction and urban design, where your research can shape the vision of open and accessible cities!. This position is part of the NWO-funded research project BEAT (Building Equitable Accessibility Together), which will start in...
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/356155/postdoc-position-hci-and-inclus… Requirements Additional Information Website for additional job details https://www.academictransfer.com/356155/ Work Location(s) Number of offers available1Company
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mixed methods. Contribute to the HCI and EdTech research team (https://www.tugraz.at/en/institute/hcc/research/research-groups/team-pammerschindler ). Engage in interdisciplinary collaboration with
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is associated with a HEA funded (Irish Government’s Human Capital Initiative, HCI, supported by the National Training Fund) initiative. This large-scale inter-institutional educational initiative
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Initiative, HCI, supported by the National Training Fund) initiative. This large-scale inter-institutional educational initiative (involving MU, DkIT, TUS, UCC and DCU) explores the use of virtual laboratories
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
EdTech companies. The research will be conducted using highly innovative methods from the social sciences, critical data and media literacy studies, as well as HCI, including digital & computational
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modernising laboratory education. The position is associated with a HEA funded (Irish Government’s Human Capital Initiative, HCI, supported by the National Training Fund) initiative. This large-scale inter
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Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI
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of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record
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areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles