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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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of novel receptors. The intensive and extensive use of water in modern society places increasing demands on water supplies. This situation negatively impacts fresh water fit for human consumption and
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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sequencing and data analysis pipelines. Department Contact for Questions Meghan Hutchinson Human Resources Business Partner Department of Surgery mjhutchi@iu.edu OR Thoa Tran Assistant Research Professor
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, creativity, initiative, and career motivation. Department Contact for Questions Neuroscience Human Resources NSCCHR@iu.edu Additional Qualifications The successful candidate has peer-reviewed publications
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of Medicine, and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system (Koehler et al., Nature Biotechnology 2017; Nie et al., Nature
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proteomic techniques as well as human stem cell models. The candidate must be comfortable with advanced molecular biology techniques and bioinformatics. We are seeking a self-directed, self-motivated, curious
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. This position focuses on digital humanities and social media analytics under Dr. Gunther Jikeli’s supervision, with particular emphasis on analyzing Instagram activities and rhetoric patterns. Key
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act through context specific