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help manage and contribute to our program in ex vivo human cell biology and in vivo rodent models, focused on deciphering the cellular and molecular basis for neurodegenerative diseases, including
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical
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of the research project(s), including design, fabrication, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical
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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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. Desirable Qualifications: Desirable Qualifications: Laboratory skills:in vitro and in vivo studies, flow cytometry, andtechniques in molecular biology Experience with mouse models. Competency in SolidWorks
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systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell systems. Research groups have access to state-of-the-art research and top-notch support core facilities and
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology
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: Desirable Qualifications: Laboratory skills: in vitro and in vivo studies, nanoparticle drug delivery, and RNA therapeutics Experience with mouse models. Competency in SolidWorks, Graphpad, and Adobe