13 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate- Biological / Agricultural Engineering for Nutrient Bioavailability Research Division: Pediatrics Work Arrangement: Onsite only Location
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Job Description Apply now Job Title: Postdoctoral Associate- Protein engineering and High-Throughput Screening Division: Neuroscience Work Arrangement: Onsite only Location: Houston, TX Salary Range
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homeostasis. Responsibilities include recombinant protein expression and purification, development and execution of enzyme and biophysical assays, and quantitative data analysis to support structure–function
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PacBio HiFi, Oxford Nanopore, and graph-based genome technologies. Job Duties Develops, implements, and optimizes algorithms and computational methods for structural variant (SV), tandem repeat (TR), and
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genetics. Genomic analyses: next generation sequencing - DNA and transcriptome, chromosomal microarrays, cell culture, qPCR, gene regulation assays, 3D chromatin structure. Prior experience in the area of
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chemical biology, molecular cell biology or structural biology are expected to work with the team to push the boundaries of basic research. Job Duties Complies with the intellectual property compliance
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field. No experience required. Preferred Qualifications Ph.D. in Chemistry, Computational Sciences, Computational Biology, Structural Biology, Computer Science, Bioinformatics, Statistics, or related
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and purification, molecular biology and vector construction, metabolic and/or proteomic characterization and analysis, synthetic chemistry, and/or generation and analysis of mouse knockouts. Excellent
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next-generation CAR T-cell therapies for pediatric solid tumors. The fellow will apply high-throughput screening, T-cell engineering, and single-cell analytics to identify and validate novel receptor
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Qualifications Ph.D. in immunology, genetic engineering or related fields. Great knowledge foundation of tumor immunology principles. Ability to assess highly parametric flow cytometry. Understanding and