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RNA-seq data for testing and validation. Perform data analysis on large-scale RNA-seq data in pediatric cancer. This may involve the analysis of both scRNA-seq, bulk RNA-seq as well as new single-cell
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controlling cancer cell biology. Your research focus will be on (1) the molecular mechanisms underlying the action of the oncoprotein MYC; or 2) the role of chromatin remodeling complexes in regulating access
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, cloning etc.) Preferably knowledge in the characterization of microbial rhodopsins Skills in data analysis with Python Excellent organizational, interpersonal and communication skills The ability to work in
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of one-year duration but is potentially renewable for an additional one to two years, depending on performance and available funds Responsibilities Assists research faculty with participant recruitment
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. This position provides an excellent opportunity for candidates who want to work at the forefront of developing the next generation of biological analysis tools, screening and neurological disease research in a
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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effort to identify and visualize the translation dynamics and function of proteins that drive epithelial cell migration and rapid, scarless wound healing in axolotl wound healing and fly dorsal closure
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a unique range. Institute of Coastal Systems Analysis and Modeling The Institute for Coastal Systems Analysis and Modeling studies the dynamics of coastal systems as part of the Earth system and
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention