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Field
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, ensuring reliable data processing, quality control, integration of new technologies, and reproducible analysis. The successful candidate will act as a liaison between the CRG Genomics and Bioinformatics
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Bioinformatician to support bioinformatics workflows for high-throughput sequencing technologies, ensuring reliable data processing, quality control, integration of new technologies, and reproducible
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approaches to study RNA turnover or with massively parallel reporter assays (MPRAs) will be beneficial. Must Have Bioinformatics experience in the analysis of (RNA) sequencing data Experience with common lab
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Unit is seeking a Bioinformatician to support bioinformatics workflows for high-throughput sequencing technologies, ensuring reliable data processing, quality control, integration of new technologies
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generation and data analysis. About the lab The focus of Lehner lab is using massively parallel selection experiments to tackle the fundamental encoding problems of molecular biology. Towards this
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involvement in projects and clinical trials, coordinating study-related activities and ensuring their proper execution. Experimental work and sample processing o Processing of biological samples and carrying
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management) Experience with population-based cohort studies and interacting with participants/patients Management, collection, and processing of clinical data using data management tools (REDCap, Excel
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. - Processing, normalization, and quantitative analysis of data generated using solid-state and liquid-phase reactomics platforms. - Integration of reactomics data with clinical, biochemical, and other
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Institute of Agrochemistry and Food Technology (IATA-CSIC) | Paterna, Comunidad Valenciana | Spain | 2 months ago
cohort design, experimental systems, bioinformatics, predictive modeling, and digital-twin thinking. We are looking for two profiles : Neonatal Microbiome Research Fellow (postdoctoral only) Microbiome
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optimization, polynomial optimization, stochastic optimization, semidefinite programming, non-smooth optimization, and related fields. · High-Performance Scientific Computing: parallel computing (MPI