9 finite-element-analysis Postdoctoral research jobs at Karolinska Institutet (KI) in Sweden
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collaborative research environment to analyze unique spatial data in an innovative manner. You will develop and perform cutting-edge bioinformatic analysis integrating different multiplexed spatial data, and gain
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disease models Experience with LC-MS data interpretation Molecular docking or computational analysis skills To be eligible for employment as a postdoctoral researcher, a PhD or a foreign degree deemed to be
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, engineering, neuropsychology, or a related field Strong skills in statistical analysis, programming using Python, MATLAB, R, or similar Strong quantitative or computational background Experience with
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optimization and functional characterization of small molecules Integrating biophysical, computational, and cell‑based data Independent experimental design, data analysis, and interpretation Active participation
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Targeting of Human Cytomegalovirus (HCMV) in Brain Cancer”, which integrates sequencing-based virus discovery, multi-omics analysis, and translational cancer research. Duties About the Project Our research
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advantage Familiarity with lipidomics, metabolic flux analysis, isotope tracing, or biochemical analysis of lipid pathways is highly desirable Experience working with DNA and/or RNA viruses in experimental
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processing, experimentation, data analysis, documentation, presentation and publication of results. The candidate is expected to work as a bridge between the groups in the translational research constellation
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relevant medical science. Strong skills in data management and the ability to work with large datasets. Strong statistical analysis skills. Strong programming skills in a relevant statistical software
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programming, computational biology, and statistics as well as experience in analyses of high-dimensional data sets, e.g. high-throughput sequence and gene expression data analysis, will also be considered a