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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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of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building
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recent examples of our research include Jeong et al, Science 2023; Vessoni et al, JCB 2021, Munroe et al Hepatology 2020. This project will likely involve human stem cell differentiation assays, protein
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to lab operations and maintenance Participate in team meetings and present research findings to internal and external stakeholders Minimum Qualifications PhD in Chemical Engineering, Materials Science
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radiology, pathology and computer science. The University of Utah is building a new program in integrating radiology and pathology imaging for clinical outcomes predictions. This program provides strong
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, and other pathologies. The post-doctoral scholar will be embedded in a multi-disciplinary research team that includes faculty in radiology, pathology and computer science. The University of Utah is
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Research and Training Institute (CVRTI), is seeking a motivated postdoctoral fellow to work on projects that bridge from basic cell biology to small and large animal model systems. The focus of the lab is
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Associate to join our team investigating fundamental questions in ribosome biology. Our research is centered on understanding the mechanisms of protein synthesis and translational control in health and
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of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender
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provided to individuals with disabilities. The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin