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: Develop and apply LCMS methods for the qualitative and quantitative analysis of biological samples. Design and conduct experiments, analyze data, and interpret results. Collaborate with faculty, staff, and
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the complexities of human diseases and transplantation and to translate this knowledge into improved treatments. Learning Objectives: Gain skills in immunogenomics, immune repertoire analysis, single cell, multi
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. Proficiency in molecular biology techniques such as DNA/RNA extraction, PCR, cloning, protein analysis, Sequencing. Familiarity with omics data analysis relevant to microbiome-host interactions. Experience
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(community interventions, community-based participatory research, meta-analysis and bias in research, RCT methods, causal interference, mathematical modeling, and econometrics) Policy research related
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(broadly defined, from school to the workplace). Demonstrates excellent written and verbal communication skills and use of rigorous, innovative quantitative and/or qualitative methods of analysis. Is
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, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis
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data acquisition for single-cell analysis. Analyze and interpret spectral and image data, providing statistical insights that contribute to the optimization of the imaging methodology. Contribute
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and optimization, and the use of omic data to reveal molecular etiology for therapeutic targets. The researcher will utilize clinical biostatistical analysis, genome wide association analysis, and
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survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis. Required Qualifications: We seek
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retinopathy, real-time PCR, protein analysis, flow cytometry, and designing and breeding genetic models, transfections and transductions, cell culture, maxi preparations, and cloning. The position will provide