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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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responsible for day-to-day management of a work package that centers on laboratory testing of a newly discovered human genetic knockout model population, as well as data analysis of large-scale registry data
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be submitted no later than two months after taking up the position. For more information see: http://www.uio.no/english/research/phd/ https://www.mn.uio.no/english/research/phd/ Naturhistorisk museum
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so development of new supply chains from green-field or adaptation of existing ones. Methodologies like simulation and life-cycle analysis, AI and data-driven design, will support the modelling and the development
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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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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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served in the position. A statutory contribution to the state pension plan will be deducted from the employee’s salary. Other information The Academic Appointments Board for PhD Research Fellowships is
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candidates, we will only use the information for anonymous statistics. Application Your application must include: A cover letter outlining your motivation and research interests for this position along with
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Scandinavian language or in English. Application Deadline: October 1, 2025 Contact Contact Information For questions about the position: Prof. Jarle Trondal, Ph.D. Program Coordinator Phone: +47 91 38 00 83
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if such requests are not allowed. Contact information For more information about the position, please contact: Prof. Salman Nazir: salman.nazir@usn.no Head of department Tor-Inge Myklebust Lie: tor-inge.lie@usn.no