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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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funded by RCN and in operation until 2033. The research group on statistical models for high-dimensional and functional data is part of the larger and active research environment on “High-dimensional
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processing research in Norway. Main tasks The main purpose of this post-doctoral position is to qualify for work in high-level scientific positions. A Ph.D. degree is required. Perform research in food
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(https://www.ntnu.edu/isb/prostomics#/view/about ), which is part of the broader CIMORe environment at the Department of Circulation and Medical Imaging. The group is located at Øya Campus as part of
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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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international research institution with high academic standards and an interdisciplinary work environment, developing forecasting systems and tools for conflict predictions? The Peace Research Institute Oslo