36 post-doc-image-processing Fellowship positions at UiT The Arctic University of Norway
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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questions related to the molecular regulation of autophagosome formation, using cell biological, genetic, and imaging-based approaches. The candidate will explore the function and regulation of proteins
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-depth literature study of edge systems, distributed systems and simulation. You will perform experimental studies of computer systems with the emphasis on the time and energy consumption predictions. From
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for clinical AI based on patient data from heterogeneous sources notably language/speech-based sources. The activity will focus on the development of a prototype implementation of early warning- and other AI
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performed in close collaboration with experienced team members. Additionally, the candidate will acquire skills in performing in vivo PET/SPECT and MR/CT imaging experiments and data analysis. The candidate
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30 Oct 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Automation and Process Engineering Research Field Biological sciences » Laboratory
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cooperation with the supervisor Want to know more about the position? Further information about the position is available by contacting: associate professor Marta Panizzut , e-mail: marta.panizzut@uit.no
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cooperation with the supervisor Want to know more about the position? Further information about the position is available by contacting: associate professor Marta Panizzut , e-mail: marta.panizzut@uit.no
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that the total time used for research training amounts to three years. We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According