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Neuroscience. The position is financed by the Research Council of Norway’s FRIPRO scheme and will spearhead a new project investigating the neural population coding of active pursuit in freely moving rats. Your
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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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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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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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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
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landscape analyses using satellite images before field mapping. The time series will be based upon studies of sediments deposited in glacier-fed distal lakes analysed with ultra-high-resolution scanning