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Epidemiological Research and Analysis (40%) • Perform data audits and data cleaning for complex data. Actively participates in data harmonization between a consortium of cohort studies and outside data partners
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cell analyses. Direct experience with advanced approaches for single cell transcriptomic, epigenomic or multi-omic data analysis is required. Specific expertise in harmonizing single and multi-modal
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ultrashort ultraviolet pulses and few-cycle infrared pulses to replace the conventional strong-field photo-interactions. By using such a two-color scheme, we aim to trigger a new regime of high-harmonic
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, programming, analysis and modeling in order to support projects. The Data Scientist/Statistician I will implement the research analyses, executing large-scale data harmonization, statistical analysis, and
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documentation of data processing pipelines, codebooks, and metadata; Ensure appropriate data cleaning, harmonization, transformation, and documentation across diverse data sources; Apply intermediate and advanced
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confirmatory trials. The successful candidate will contribute to all phases of the research process, including study design, data management, statistical programming, analysis, visualization, and interpretation
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confirmatory trials. The successful candidate will contribute to all phases of the research process, including study design, data management, statistical programming, analysis, visualization, and interpretation
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working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/356354/phd-position-numerical-analysis… Requirements Specific Requirements You hold, or are working towards, a
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-funded project with 23 partner institutions, that aims to create a robust monitoring network to: support the expansion, improvement and harmonization of existing data, knowledge, and monitoring approaches
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of wildfires on biodiversity, ecosystem resilience, and biogeochemical cycles in Mediterranean forests. By combining experimental approaches (in situ and ex situ) with the analysis of natural archives (lakes