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that conjugating siRNAs to peptides that bind receptor X will enable targeted delivery of disease-modifying agents directly to affected joint cells. This project will: 1. Identify optimal siRNA sequences
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experimental cancer biologists to address major scientific problems. The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 19 hours ago
Kannapolis and UNC Charlotte in Charlotte. Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred. Departmental Preferred Experience, Skills, Training/Education
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both the NCRC in Kannapolis and UNC Charlotte in Charlotte. Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred. Departmental Preferred Experience, Skills
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has contributed to publications in journals such as Nature Genetics and Nature and is involved in multiple local and international collaborations. We are recruiting a Research Fellow who is competent in
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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specific emphasis on the interpretation of single cell results within a biological context. The position also entails close collaborations with multiple groups, many at the Stanley Center in the Broad
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, molecular biology, biochemistry and cell biology, chemical biology, immunology, functional genomics, signal transduction, single-cell sequencing, spatial sequencing, metabolism, drug development, structural
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning