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deadlines and work collaboratively in an interdisciplinary laboratory setting. Desired Qualifications: Experience with next-generation sequencing (NGS) data, microbiome composition analysis, or within-host
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research experience, with strong experimental design and data analysis skills - Excellent written and verbal scientific communication skills - Ability to work effectively and collaboratively within a
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Required: Ph.D. in high energy nuclear or particle physics or a related field Required Qualifications: Demonstrated experience in data analysis. Skill related to the analysis of large-scale datasets (e.g
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production settings; 2) collaborating with the PIs Nolting and Arruda in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation
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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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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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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