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strategies and statistics, and scientific writing and presentation. Anticipated activities will entail processing and implementing new analytic strategies to facilitate understanding of neurodegenerative
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background in programming and statistics. Comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and familiar with statistical analysis packages (SAS, R, or Bioconductor
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proficiency in discrete element method (DEM), computational fluid dynamics (CFD), process models and flowsheets, statistical techniques, population-balance models (PBM), and engineering models. Upon joining
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to guide patient care. The postdoctoral research associate will work under the supervision of a faculty investigator and will be responsible for applying and developing computational and statistical methods
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include age, sex, educational attainment, level of social engagement, and medical comorbidities. Statistical models that link biomarker levels with cognitive and clinical measures can transform a biomarker
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. Experience with or interest in community-engaged research methods. Experience with or interest in topics and methods in global health. Strong skills in statistical and/or spatial analysis, including use
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experience in MRI, PET or Electrophysiology. Excellent problem-solving skills and the ability to work independently and collaboratively. Proficient in data analysis, statistical methods, and programming
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utilize clinical research studies using MRI and Electrophysiological tools, signal and imaging processing, and statistical analysis. Applicants with a strong background in these areas and of various levels
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handling human immune cells. Basic statistical and computational knowledge is highly desirable. Excellent oral communication and written skills, with good organizational and analytical abilities. Working
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data, including but not limited to single-cell RNA sequencing, microbiome, and bulk transcriptomic datasets. Perform appropriate statistical analyses and data modelling to address relevant scientific