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bioinformatics/clinical and/or mutiomics data and adjust recommend approaches to experimental design and analysis. Actively review new publications and adapt emerging methods and approaches to existing projects
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spectroscopic techniques, such as laser absorption spectroscopy (LAS) and modulated spectroscopic methods (FMS, WMS), within bench test and field test setups of the Lidar DFB seed laser and thulium amplifier
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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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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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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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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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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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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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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