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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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, Modeling, and Perceiving the Combinatorics of Groove-based Rhythms, funded by the Research Council of Norway. The project is affiliated with RITMO Centre for Interdisciplinary Studies in Rhythm, Time and
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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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(MSCA-PF) to pursue a career in research. We invite applications from promising young researchers within the field of Computational Biology & Ecological Modeling. The selected candidate will write a
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. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models
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the Norwegian Institute for Nature Research (NINA) and partners in 14 countries. For more information, see: https://seatrack.net . This is a fixed termed position for 3 years in our section for terrestrial
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contribute to a project that will develop and analyse computational models for electricity markets, the power system and hydro power scheduling. The position will be affiliated with the ENE Centre at the
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primary liver cells to preserve their native phenotype, supporting physiologically relevant in vitro models. Building on these insights, we are expanding our studies of fenestration biology to other
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rationale multi-cancer approach and modern genome-wide methods for regulatory genomic features and chromatin architecture. We utilize a wide range of cell-based models, organoid systems together with cutting