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for spoken language-based detection of clinical change. General information about the position: The position is fixed term for a duration of three years. Appointment to the position of Postdoctoral Research Fellow is
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of patients. The candidate will contribute broadly to the project to enable the development of new algorithms for clinical AI based on patient data from heterogeneous sources, notably language/speech-based
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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information about the position. The position is a fixed term position for a duration of 3 years. Appointment to the position of Postdoctoral Research Fellow is mainly intended to provide qualification for work
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teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at UiT in Tromsø. You must be able
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qualification measures such as courses in teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at
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be disseminated in internationally recognized, open access journals/publishers. Contact For further information about the position, please contact Professor and Academic Leader SKK Ann Therese
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monitoring and subsea installations. The applicant for the PhD position is expected to contribute to existing and future projects with additional analyses and modelling based on collected data from
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computing technologies in medical contexts. This could include issues such as equity/discrimination, data ownership, unexpected implications of the AI Act for mental healthcare, and other issues of relevance
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. The completion grant should be used to further qualification measures such as courses in teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant