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consult with our multi-disciplinary team of scientists, developers, and clinicians. Write manuscripts to summarize the research findings Be an expert on the latest machine learning techniques, methods, and
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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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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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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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, 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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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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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