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strong background in bioinformatics and passion in exploring the heterogeneity and evolution of normal, progenitor, and tumor cells as well as the tumor microenvironment (TME) using state-of-the-art single
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information to advance the field of Precision Medicine As a successful candidate, you will: • Develop and implement computational pipelines and innovative bioinformatics strategies for the molecular
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University of Texas, Health Science Center at Houston | Houston, Texas | United States | 2 months ago
://sbmi.uth.edu/faculty-and-staff/jim-zheng.htm ) at the McWilliams School of Biomedical Informatics (MSBMI). RESPONSIBILITIES: As a successful candidate, you will apply your bioinformatics/biostatistics skills
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phenomena or, alternatively, experimentalists with a solid background in bioinformatics/computational biology analysis of transcriptomic and genomic data with regard to detection of differentially expressed
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Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Bioinformatics Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit
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Medicine Oncology (mentor: Dr. Zhen Shi) and the Department of Oncology Bioinformatics (mentor: Dr. Xiaosai Yao) at Genentech. The candidate will utilize molecular, cellular and computational biology, along
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bioinformatics with experience in assimilation and analyses of omics data to enhance our work in this area of scientific discovery. A background in immunology and/or molecular biology is a plus. Further, the
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phenomena or, alternatively, experimentalists with a solid background in bioinformatics/computational biology analysis of transcriptomic and genomic data with regard to detection of differentially expressed
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or, alternatively, experimentalists with a solid background in bioinformatics/computational biology analysis of transcriptomic and genomic data with regard to detection of differentially expressed genes, noncoding
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enhancement and neural resilience against aging and diseases like Alzheimer’s disease, Parkinson disease and other dementias – using synergistic cellular, molecular, behavioral, and bioinformatic approaches