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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering
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, retention, cleaning, and analysis of research data, administration of both caregiver and child measures and assessments, and conduct data management tasks. The incumbent assists with the supervision
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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in bioinformatics, metagenomics, and microbial community analysis to join a research team investigating bacteriophages within the oral microbiome. The Postdoctoral Scholar will lead the computational
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of Biomedical Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in identifying new biomedical data analysis
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background in experimental design, data analysis, and scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and
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biological datasets. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential
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% of expected effort). Much of this research will be done in collaboration with an industry partner, so an ability to interface with the private sector is desired. They will also lead analysis of existing
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. Participates in experiment design and evaluation; executes experiments; performs data analysis; reports to principal investigator (PI); Develops new methods for research; develops and details understanding
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, data analysis, and scientific communication. Interested applicants should submit a CV and a cover letter that explains desired research direction. Minimum Education Required PhD in chemistry, physics