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Field
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manner. Collaborative Innovation: Lead and participate in collaborative initiatives aimed at developing novel computational tools, algorithms, and models that address critical challenges in drug discovery
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emissions and soil health parameters. Results will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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Responsibilities* Experimental responsibilities will include, but not be limited to: Develop and implement advanced AI/ML algorithms for image segmentation and registration Collaborate with diverse teams in
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and pedagogy. Dedicate time to keep pace with the rapid developments in AI technology (such as, but not limited to, new algorithms, tools, AI-powered educational platforms) and in educational research
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and pedagogy. Dedicate time to keep pace with the rapid developments in AI technology (such as, but not limited to, new algorithms, tools, AI-powered educational platforms) and in educational research
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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate
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of innovative, computerized tools and algorithms for collecting, processing, analyzing and visualizing large-scale, complex data. The research area of Computational Communication Science includes, for example
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results and incorporate the implemented algorithms in a robust software package for dissemination. The position also involves writing research reports and manuscripts for publication, and preparing and
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humanistic lens (e.g. critical algorithm studies or critical artistic work). These lines of inquiry are by no means exhaustive, but reflect our belief as a department that 1) we cannot have AI systems