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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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fluid inclusions. To this end we have employed various small-scale imaging techniques in 2D and 3D, using facilities available in Bergen and collaborating with external project partners. The Postdoc will
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of the transition from open pores to hermetically sealed fluid inclusions. To this end we have employed various small-scale imaging techniques in 2D and 3D, using facilities available in Bergen and collaborating with
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in USN’s PhD-program in Ecology within three months of accession in the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof
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neuro-imaging (https://www.ntnu.edu/langdevlab#/view/publications ). The main responsibility of the postdoc will be to conduct research in the newly awarded ERC Synergy grant SHAPE (https://www.ntnu.edu
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practices. The findings will serve as the empirical foundation for the security framework. Defensive Strategies: Propose and prototype new defensive architectures and techniques that can be integrated
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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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architecture to perform distributed simulations on heterogeneous clusters. Following this approach requires rigorous parallelization of code and extensive validation experiments. Ultimately, distributed