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Field
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bioinformatics are invited to apply. The candidate will be supported by a NIH grant to explore emerging areas in regulatory T cell biology. Please contact for more details. Beyond the unparalleled benefits
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datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute
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, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and model
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range of techniques including mouse genetics, cell and molecular biology, computational bioinformatics, and bioengineering. Through established clinical collaborations, we also have unique opportunities
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. Required Qualifications: PhD or MD/PhD, with expertise in immunology, molecular biology, cell biology, or bioinformatics. Demonstrated record of productive research and publications. Excellent written and
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–phenotype–environment interactions. Scaling root traits to agroecosystem processes Ideal candidates will have strong quantitative or computational backgrounds in bioinformatics, breeding, quantitative
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biology, cancer biology, molecular biology, immunology, and bioinformatics are all welcome to apply. Lab techniques include mammalian cell culture, mouse models, standard molecular biology and biochemistry
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transplantation and viral immunity. Apply and expand expertise in advanced methodologies such as CyTOF, sequencing approaches (CITE-Seq, NGS, RNA-seq), and bioinformatics, with opportunities to learn and integrate
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high-throughput sequencing and bioinformatics Grant writing experience Experience mentoring students Department/Program & College Description: The College of Agriculture and Life Sciences is one
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months are also encouraged to apply.) Strong publication record. Experience with rodent models, cardiovascular cell biology, or bioinformatics is highly desirable. Specific questions may be directed