19 finite-element-analysis Fellowship positions at UiT The Arctic University of Norway
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degree. Admission to the PhD program is a prerequisite for employment, and the program period starts on commencement of the position. The Centre for Forensic Genetics is a public DNA analysis laboratory
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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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on the interaction between algebra, differential geometry, analysis and computational mathematics, as well as their applications to data science and computational dynamics. You can read more about the center on its
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the significance of behaviour as an indicator of consciousness by improving the analysis methods for EEG/EKG and alternative measurements on marine species. Participate in research projects and develop measurements
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of consciousness by improving the analysis methods for EEG/EKG and alternative measurements on marine species. Participate in research projects and develop measurements methods, evaluating reduced stressors and
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algebra, differential geometry, analysis and computational mathematics, as well as their applications to data science and computational dynamics. You can read more about the center on its homepage
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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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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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Hands-on experience in next generation sequencing and data analysis Working knowledge of Norwegian or a Scandinavian language Experience in writing publications Experience in a biosafety level-2 lab
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, and differential expression analysis. Exposure to or interest in metabolomics/lipidomics and multi-omics integration. Strong quantitative skills (statistics/ML for microbiome data) and clean