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Field
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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
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, single cell sequencing, and RNA-seq. Knowledge in bioinformatics for the analysis of sequencing data is preferred. The intent of these studies is to determine the immunogenicity of tumor associated
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, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should demonstrate quantitative/qualitative research skills, excellent
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Preferred Qualifications A PhD in neuroscience, bioinformatics, biomedical sciences, or psychology Strong programming skills Knowledge/Skills/Abilities Excellent communication skills and the ability to work
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Preferred Qualifications A PhD in neuroscience, bioinformatics, biomedical sciences, or psychology Strong programming skills Knowledge/Skills/Abilities Excellent communication skills and the ability to work
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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should