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-based artificial intelligence (AI) methods for detecting clinical worsening in mental illness. A preference will be given to those with demonstrated research interests in speech and / or neurotechnologies
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about the position, please contact Associate Professor Monika Abels: phone: +47 77645343 email: monika.abels@uit.no Qualifications Required qualifications: A Norwegian doctoral degree (PhD) in psychology
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doctoral degree (PhD) in psychology, anthropology, indigenous studies or another relevant field, or an equivalent foreign doctoral degree. If you're in the final stages of your PhD, you may still apply for
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sensors have been operating together. A PhD Student on WPs 1 & 2 in the project will match these ITDs to maps of sea ice deformation and linear kinematic feature (LKF) evolution observed with SAR, to detect
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of your completed PhD degree must be submitted before commencement. Experience with empirical methods in language research. Fluency in English. Nordic applicants can document their capabilities by attaching
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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completion date for your PhD degree. Documentation of your completed PhD degree must be submitted before commencement. Experience with empirical methods in language research. Fluency in English. Nordic
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on voice and language-based artificial intelligence (AI) methods for detecting clinical worsening in mental illness. A preference will be given to those with demonstrated research interests in speech and
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expected. Qualifications Essential requirements: A Norwegian doctoral degree (PhD) or an equivalent foreign doctoral degree in Marine Geology, Marine Geophysics, or another relevant field Experience with
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. Participation in the 2026 i2B marine research expedition will be expected. Qualifications Essential requirements: A Norwegian doctoral degree (PhD) or an equivalent foreign doctoral degree in Marine Geology