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development activities. Communicating with families in various formats including; individual daily contact, the Brightwheel app, parent/staff meetings, and preparation of newsletters. Acting as a role model for
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safety, quality, and processing. This position involves performing routine technical and specialized tasks, which may include Python programming as well as training and testing machine learning models
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stations around the state to carry out this mission. The Survey has been a model for statewide archeological programs in the United States and around the world. AAS web home page: http://archeology.uark.edu
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, working on projects that aim to develop and characterize the activity of engineered anti-inflammatory therapeutics, evaluating them in animal models of autoimmunity and chronic inflammatory diseases
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multidisciplinary research experiments involving cell biology, experimental cell and animal models of cancer, optical microscopy and spectroscopy, and image analysis in the Department of Biomedical Engineering. The
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employing Regression Discontinuity Designs (RDD) and related causal inference models, with a strong emphasis on advancing statistical methodology. The project presents significant methodological challenges
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vivo animal models The ability to work as part of a team and conduct experiments in a diligent manner Excellent time management and organizational skills The ability to meet deliverables and deadlines
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developmental biology and stem cell biology to prostate cancer research. We use genetically engineered mouse models, explant cultures, and 3D organoid culture systems to study androgen signaling during prostate
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
and molecular bases of chronic health conditions and/or human disease. A variety of experimental approaches, encompassing in vivo, in vitro, and in silico models, will be considered. Candidates
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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