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Role: The laboratory consists of experimental biologists and computer scientists who focus on the study of transcriptional control of cell growth, using functional genomics, systems biology, and mouse
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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the process of measuring and analyzing high-throughput, multi-dimensional omics data integrating single cell transcriptomics and spatial proteomics of immune cells from CSF and blood as well as human brain
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the postdoctoral position, the candidate will evaluate and integrate existing tools and databases into high throughput pipelines and facilitate the display and the distribution of processed data. The data generated
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We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the
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models of human disease and clinical samples to assess diagnostic and prognostic value. Engage in collaborative research with faculty and trainees across biology, chemistry, and bioinformatics
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clinicians, and close collaboration with partner research groups in protein chemistry, molecular biology, and bioinformatics.
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
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proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and proteomics) would be
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and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and integrating molecular data. About