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will receive further information about this. Other information If you would like more information about the position, feel free to contact: Head of department Liv Klakegg Dahlin livkd@oslomet.no, +47
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, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error
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assessment data from drone-based imagery, LiDAR, and related sensing technologies. The project will also explore how methods from data analytics and artificial intelligence can support more efficient damage
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information If you would like more information about the position, feel free to contact: Head of Research Marit Sandvik, marsan@oslomet.no Professor Aase Reyes, aaser@oslomet.no For administrative inquiries
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position, feel free to contact: Head of Research Biplab K Datta, biplab.datta@oslomet.no , +47672 37 290 Professor Vahid Hassani, vahidhas@oslomet.no , +4793001663 For administrative inquiries, please
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will receive further information about this. Other information If you would like more information about the position, feel free to contact: Head of Research Biplab K Datta, biplab.datta@oslomet.no
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is conditional upon an approved background check. Relevant applicants will receive further information about this. Other information If you would like more information about the position, feel free
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is conditional upon an approved background check. Relevant applicants will receive further information about this. Other information If you would like more information about the position, feel free
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check. Relevant applicants will receive further information about this. Other information If you would like more information about the position, feel free to contact: Associate Professor Baifan Zhou
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background check. Relevant applicants will receive further information about this. Other information If you would like more information about the position, feel free to contact: Head of Studies Petter William