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and/or transcriptomics will be evaluated positively. Personal Skills Strong motivation to work both independently and as part of a team in an interdisciplinary environment, with the ability to pay close
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according to their transcriptomic subtype and derived from patients of different sex. Subsequently, we will decipher the molecular target or at least the mechanism of action of the most promising compound. To
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the analysis of large-scale omics data (e.g., proteomics, metabolomics, transcriptomics), including basic programming skills in R and/or Python Documented experience with exercise testing (e.g., testing
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to: · Characterize the genomic, epigenomic, and transcriptomic landscapes of synovial sarcoma using single-cell multi-omics approaches. · Investigate the epigenetic evolution of tumors and mechanisms underlying
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | about 2 months ago
→ cell → patient Integrate multi-modal data (genomics, transcriptomics, biosensors, EHR) Perform single-cell and spatial multi-omics analyses at scale Lead high-impact publications and contribute
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transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental
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in of the P23H mutation of rhodopsin) with circadian disruption induced either genetically or behaviorally, by chronic jet lag. It will involve transcriptome analyses (on microdissected photoreceptor
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research with state-of-the-art technologies for genomics, transcriptomics, proteomics, and metabolomics as well as by high-end bioinformatics analysis. The successful applicant will be part of the genomics
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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics
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-generation sequencing (NGS) data, including basic processing, quality assessment, and gene expression or transcriptomic analysis Process, organize, and analyze biological samples for molecular biology