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RNAseq library prep), large scale data analysis. The candidate will contribute to the design and execution of experiments, data analysis, and dissemination of results in peer-reviewed journals and
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, immunohistochemistry, mouse colony administration, genotyping, confocal and large scale microscopy, molecular biology techniques (RNA preparation, single cell RNAseq library prep), large scale data analysis
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for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders
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in large-format commercial cells. The candidate will contribute to the development of the growing research activity in electrochemistry and lithium-ion batteries. We are looking for a highly motivated
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- to large-scale ocean biogeochemistry, in particular of carbon cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g
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variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with handling large datasets, such as CMIP data, is an advantage
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. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
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computing technologies in medical contexts. This could include issues such as equity/discrimination, data ownership, unexpected implications of the AI Act for mental healthcare, and other issues of relevance
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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data from aircraft field campaigns and satellites. We are now looking for an engaged and highly qualified PhD candidate to join our collaborative team. As a PhD in the Meteorology group