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Field
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
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/field personnel in research. Initial studies will focus on burn wounds, improving healing and assessing multiple wound factors using imaging and sensors. What you need to know Salary: Compensation will be
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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for full-time employees Dental insurance Vision insurance Long-term and short-term disability coverage Multiple retirement plan options Generous paid time off Paid holidays All UT Dallas employees also have
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for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will be responsible for two projects dealing with generating signals within
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census at multiple locations, cataloguing known natural or man-made aerial objects. We will generate testable, data-driven hypotheses to characterize any novel class discovered during this census, or else