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Stig Brøndbo 4th August 2025 Languages English Norsk Bokmål English English Faculty of Engineering Science and Technology PhD Fellow in signal processing and modelling in the seafood industry Apply
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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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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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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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fibroblast activation in vitro and evaluate the potential of cardiomyocyte rejuvenation through small molecule inhibitors in vivo to reduce post myocardial infarction scar formation and improve cardiac
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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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to enable the development of new algorithms 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
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November 2024) and aims to fill a major research gap in Arctic science by investigating processes, consequences, and impact of past “greenhouse” (warmer than present) conditions. In i2B we will retrieve new
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that demonstrate development over time, as well as a description of and reflection over the process and result. Description of experience with supervision at master's and PhD level. In addition to describing
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that demonstrate development over time, as well as a description of and reflection over the process and result Description of experience with supervision at master's and PhD level. In addition to describing