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Field
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. Given their importance, continuous monitoring and fault diagnostics are crucial—especially as machine learning algorithms play an increasingly prominent role in predictive maintenance and reliability
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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teaching at the intersection of finance, macroeconomics, and policy. We seek to hire talented and motivated predoctoral research specialists to assist multiple economics and finance faculty working with
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issues or areas of critical data examination. Works with statistics on defining and documenting programming endpoint algorithms across a study, drug program and/or contributing to TA level algorithms
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formulations to target multiple pathogens. The technology uses a genetic blueprint to create a novel mRNA for target proteins, which can be encapsulated into lipid nanoparticles (LNPS) for delivery and cellular
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need and demand. UT-ORII is funded by the Department of Energy and the State of Tennessee. More About the Workflow Systems Group: The Workflow Systems Group researches and develops systems and algorithms
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the analysis of multimodal spatial omics data across multiple projects, collaborating closely with experimental biologists. Main tasks and responsibilities: Develop and implement robust computational pipelines
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functional imaging to better understand disease pathophysiology, to discover new therapeutic targets, and to develop novel diagnostic algorithms that can improve patient care. Specific areas of research
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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Language Processing (NLP). We seek outstanding candidates with expertise in developing and applying AI techniques that integrate and reason over multiple modalities—including text, speech, vision, and sensor data