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collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent
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. Compliance with all applicable University and departmental policies and procedures. Required Qualifications at this Level Education/Training The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g
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statistical models to investigate gene by environment interactions and to utilize bioinformatics resources and high-dimensional –omics data to elucidate the biological significance of the statistical analysis
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outlined in Section 7-B of the Duke University Postdoctoral Policy, effective April 1,2008. Work Performed 1. The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates
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-funded Duke lab hub for the Human Health Exposure Analysis Resource ) program, the Newborn Epigenetics STudy (NEST) longitudinal birth cohort, the Children’s Health and Discovery Initiative (CHDI
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
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settings associated with cancer, Alzheimer’s disease, and stroke. Applicants must: 1. Hold a PhD with relevant skillsets in ultrasound imaging; 2. Have excellent informal and formal written and oral
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have hold a doctorate n environmental science or engineering or the equivalent and have expertise in the area of surface characterization and chemical analysis of nanoparticulate phases. In particular
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, excellent communication, data processing, organizational, written and oral presentation, and problem-solving skills. Experience in animal handling and/or high throughput sequencing analysis is strongly
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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral