108 linked-data-"https:"-"https:"-"https:" Fellowship positions at University of Oslo
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of space-based time-series and spectroscopic data sets (for example, from HST, TESS, or similar facilities), will be considered a major advantage. Fluent oral and written communication skills in English are
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology
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that describes how its research plan will contribute to the relevant WP and the overall project. Documented experience with empirical research and the handling of empirical data. Good cooperation skills Preferred
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novel methods and statistical software that are tailor-made to the research questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential
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nanoparticles and incorporation of cell-penetrable peptides for precise delivery to cancer cells, and exploiting differences in the membrane compositions of healthy cells and malignant cells. These data will be
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(Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives
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, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
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application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here . We hope you will
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for excellent and motivated candidates with expertise in Logics for Multi-agent Systems. The postdoc will join the Data and Knowledge Management (DKM) group at the Department of Informatics. The research in
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knowledge within advanced modelling/analysis methodology Applicants must have hands-on experience working with model lipid membranes Applicants must be proficient with computer programing Fluent oral and