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University of Southern California (USC) | Los Angeles, California | United States | about 1 hour ago
topics (CRISPR, tissue engineering scRNAseq, bioinformatics, spatial transcriptomics, cell and gene therapy) Expertise in growth and characterization of human induced pluripotent stem cells (hiPSC
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, proteomics, and bioinformatics. Introduction to Biotechnology explores the integrated science of genomics, proteomics, and bioinformatics using a case study, hands-on, and problem-solving approach. Students
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of Non-Discrimination here which includes contact information. Basic Qualifications Qualifications The postdoctoral fellow position requires a PhD in bioinformatics, computational biology, or a closely
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, statistical, and bioinformatic methods. Prepare manuscripts for peer-reviewed journals and present findings at conferences. Participate in lab meetings, mentor junior scientists, and contribute to a
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structural biology and cancer research infrastructure. Qualifications: Ph.D. in Computational Biology, Bioinformatics, Biochemistry, or related field PLUS five (5) years of experience in computational support
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; and 3) the role of tumor heterogeneity in RNA gene regulation. The lab employs multidisciplinary approaches from chemistry, biochemistry, molecular biology, cell biology, and bioinformatics
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Computing, and several joint programs (BS in Computer Science/MBA, BS in Computational Physics, BA in Social Sciences Interdisciplinary – Cognitive Science Concentration, BS in Bioinformatics and
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of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in molecular biology or computational biology Demonstrated ability to work independently and collaboratively
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science, biology, and statistics to address complex biological questions. Their work spans diverse areas including genomics, bioinformatics, systems biology, and computational neuroscience, driving innovation
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processing and microbial DNA extraction. 16S rRNA library preparation and coordination of sequencing. Microbiome data analysis (with bioinformatics core support). Statistical correlation of microbial data with