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Field
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data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/TensorFlow/Keras
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within the PIT CREW and National Center for Rural School Mental Health . Run advanced quantitative analyses using software such as Stata, R, Mplus, HLM, and/or SPSS. Generate research questions
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of China, Sub-projects of the National Science and Technology Support Program, the National Spark Program, and Key R&D programs in Hainan, Guangxi, and Jiangsu provinces, as well as industry-funded
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fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the
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genome integrity. The successful candidate will investigate the role of a newly discovered protein in controlling RNA and R-loop levels on the genome to avoid genomic instabilities. They will CRISPR
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Sheets. Experience with data cleaning, management, and quantitative analysis using R. Experience in computational text analysis, using machine learning and/or large language models (e.g., ChatGPT
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This position is embedded in the AIR-MoPSy project (Atmospheric Impact on the R-Mode Positioning System), which supports the development of a terrestrial backup to satellite-based navigation systems. GNSS (Global
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& Sustainable Mining institute) aims to strengthen its industrial partnerships within and beyond Morocco and Africa by adopting an integrated and sustainable strategic vision of R&D and training. The institute
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analysis and handling omics' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance
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to international destinations to meet with collaborators and collect data (10%). Required Qualifications: PhD in Veterinary Epidemiology or related area and be familiar with R/Stata. Preferred Qualifications: DVM