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) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data
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REQUIREMENTS The Department of Materials Science and Engineering is seeking applicants for part-time job of undergraduate researcher. Job duties to include: assist in developing new models theoretical
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must be ready to conduct research involving the design of novel behavioral interventions, conduct human studies, and build computational models to implement existing behavioral paradigms such as Just In
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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the intersection of systems security, housekeeping robots, and LLMs (Large Language Models). In particular, the researcher will work on analyzing the security vulnerabilities of housekeeping robotic systems. Since
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on statistical models for farm stress. Based upon this review they will develop a report that we will then convert into a publication for submission and support future grant proposals on this topic
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: Prior background in studying bio-molecular condensates using a combination of biochemistry, fluorescence and quantitative modeling methods is highly desired. Prior backgrounds in single-molecule imaging
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molecular biology techniques, 2D and 3D cell culture models (hydrogels), imaging techniques (TEM, SEM, confocal), protein analysis (immunohistochemistry/immunofluorescence), and handling of rodents. Specific
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tools, signal processing, and/or physical modeling. Demonstrated ability to work through a difficult problem, using proper steps to define and formulate ideas to reach a solution. Successful candidates
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function. We utilize a variety of approaches including biochemical, proteomic, genomic, genome editing, and mouse modeling to study these questions. Here are representative recent publications from the lab