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Data Science (TAMIDS) pursues new approaches to data science research, education, operations, and partnerships. These approaches cross college boundaries to connect elements of Data Science from
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slide scanner imaging. Data analysis Applies complex statistical analysis tools to data acquired from electrophysiology and imaging. Interprets differences in data, and designs follow-up experiments
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. Experience with biochemical and genomic analysis of gene expression. Experience collecting and analyzing circadian behavior. Experience in protein imaging Experience in Drosophila cell culture. Experience in
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python
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contribute to data analysis, conference presentations, and ongoing seminars and workshops, while working closely with Dr. Vujanovic and a multidisciplinary team to explore innovative research questions related
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, molecular biology, protein biochemistry, drug discovery and behavioral analysis. Data Analysis Uses electrophysiology, molecular biology, and drug discovery to answer the research questions. Publications
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the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing healthcare data Responsibilities Research and Data Analysis Under
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and single-nuclei RNA sequencing studies and the associated bioinformatics analysis Proteomic studies and data analysis LCMS and RNAi studies Gut Microbiome analysis to understand Gut-Brain Signaling
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, vehicle dynamics, and complex real-world environments. Research themes include model predictive control, reinforcement learning, reachability analysis, uncertainty quantification, and safety-critical visual
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS