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techniques, including DNA, RNA and protein extraction. (up to a maximum of 0.5 points). Analysis of biomarkers and omics data. Experience in the study of biomarkers using omics approaches, including proteomics
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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/chronic and pain related conditions, including sickle cell disease. Data Collection & Analysis: Design and implement data collection strategies, including qualitative and quantitative methods, surveys
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. • Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization, and a high level of independence with a publication record to support these
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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interviews, and the collection and analysis of primary and secondary empirical data from local communities in which public participation approaches have been conducted or are considered. Your work will build
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, analytical/semi-empirical hardening models, or data-driven analysis methods, along with a demonstrated ability to independently develop new methodological approaches # Experience with, or strong interest in
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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
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, scripting and quantitative data analysis, would be an asset. The ideal candidate will be able to work independently and demonstrate strong project-management skills in planning and coordinating work across