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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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chromatographic methods. Conduct rigorous QC workflows (UV-Vis, LC-MS, mass spec) to confirm identity, purity, and yield. Scientific Collaboration & Project Oversight Interface with internal and external
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, revenge and forgiveness, information disclosure, and impression management. Our lab uses mixed methods: incentivized behavioral experiments, hypothetical vignette scenario studies, NLP and computational
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degree (M.D., M.B.B.S., or equivalent. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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* Applicants should have a medical degree (M.D., M.B.B.S., or equivalent.) Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry
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in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as
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bioanalysis method development, validation, and samples analysis to clinical studies, which focus on a phase 1 single dose study to evaluate the pharmacokinetic and local GI drug release/dissolution of new drug
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qualitative and mixed methods research and developing psychosocial interventions are also desirable. Skill with conducting human subjects research, data management, statistical analysis, and the development