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, clustering, or other multivariate methods is desirable. Familiarity with SEM and Raman spectroscopy/chemical imaging. Prior experience with cryo-SEM is desirable; project-specific training will be provided
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environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster analysis, to characterize populations with diabetes and
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, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and machine learning methods, including cluster analysis and
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., Medicare and Medicaid) to examine clinical and environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster
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machine learning methods, including cluster analysis and predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications
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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection
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interdisciplinary research teams on quantitative analyses of complex genomic datasets; Learn to use remote, high powered computer clusters to process large datasets. Mentor: The mentor for this opportunity is Adam
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expand your research skills and knowledge under the mentorship of PhD-level scientists in entomological-based research, experimental design, and data analysis. Mentor(s): The mentor for this opportunity is
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, especially those planning to pursue a future PhD, DVM, or MD. Learning Objectives: Under the guidance of a mentor and in close collaboration with senior laboratory personnel, you will have the opportunity
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The qualified candidate should be currently pursuing or have received a doctoral degree (including DVM, PhD, and MD) in the one of the relevant fields. Degree must have been received within the past five years