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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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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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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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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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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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architecture to perform distributed simulations on heterogeneous clusters. Following this approach requires rigorous parallelization of code and extensive validation experiments. Ultimately, distributed
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, computational neuroscience, experimental psychology, functional imaging, behavioral genetics, Documented experience with either psychopharmacology, laboratory testing of reward, pain, or stress in human
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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