15 phd-in-mathematical-modelling-population Postdoctoral positions at University of Utah
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at the University of Utah invites applications for one a 1-year post-doctoral researcher for interdisciplinary work spanning machine learning, applied mathematics, computer science, and material sciences, with a
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population-based research and statistical modeling. Strong publication record and scientific writing skills. Proficiency in statistical software (e.g., R, SAS). Ability to work independently and
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. · Experience in population-based research and statistical modeling. · Strong publication record and scientific writing skills. · Proficiency in statistical software (e.g., R, SAS
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Responsibilities Independently plan, design, and conduct complex experiments using mouse and cellular models to investigate molecular mechanisms of metabolic and mitochondrial dysfunction, with a focus on heart
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instability in human stem cells, disease, and cancer, using human pluripotent stem cells and targeted differentiation approaches as a primary working model. Our goal is to determine how DNA and RNA instability
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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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you with the unique opportunity to drive research projects, employing a cross-disciplinary approach to immunology, genome editing, and omics techniques, as well as work with transgenic mouse models
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conditions related to aging. Specifically, this project will design models to develop biomarkers—particularly those related to blood vessels—to forecast clinical outcomes. This project will leverage unique
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, the cell biology of photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics
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accepted for a post-doctoral fellow in the Department of Population Health Sciences, Division of Health System Innovation and Research at the University of Utah School of Medicine. Strong preference will be