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Field
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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, support student-athlete health, and well-being, and enable scientific and educational research. The candidate will assist with data curation, creative development of data visualization and analysis tools
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models and/or decision support systems with health or health service data Proven experience or expertise in health or health services data integration and/or data visualization techniques Participation in
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of grading scale. Language Certificate: minimum B2 Research statement: a document (textual, visual, etc.) that describes what your research focus will be with respect to the project you are applying to and how
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- and micro-flow LC-HR-MS/MS for comprehensive multi-omics analysis. Proficiency in Python and R (essential) for data analysis, modeling, and visualization. Ability to work effectively within diverse
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visualization. Expertise in data processing and analysis using HPC and Galaxy platform and familiarity with widely used, and field standard software, webtools and packages, including HISAT2, Salmon, Rsubred
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
on unravelling the origin of the elevated corrosion rates of AM-built Mg- and Zn-alloys. The work will revolve around micro- and nanoscopic visualization of initial micro-galvanic activity upon metal contact with
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of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization