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Field
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salinization. Research will involve state-of-the-art metaproteomics, bioinformatics, and functional microbiome studies conducted in field trials, greenhouse experiments, and laboratory settings. This role will
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the following areas: Immunology Systems biology/bioinformatics Single cell transcriptomics/proteogenomics Protein engineering/directed evolution with yeast, phage, or mRNA/ribosome display technology
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MHz with cryoprobes and two 600 MHz spectrometers); mass spectrometry and super-resolution imaging facilities, and is the world headquarters of the Research Collaboratory for Structural Bioinformatics
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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Duke University, Biostatistics & Bioinformatics Position ID: Duke -Biostatistics & Bioinformatics -PD239922LUO [#29724, PD245471 - Luo] Position Title: Position Location: Durham, North Carolina
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI, fMRI, DTI
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Â Â Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications
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accumulation in grains and vegetables, genotype by environment interactions using molecular biology, quantitative genetics, and bioinformatics methods. Nutrition-centered preclinical and human studies