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Field
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experiments to better understand how neutrophil derived mediators influence inflammation within the mucosa, including, but not limited to, models of inflammatory bowel disease. Utilizing specialized knowledge
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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models with massive amounts of real-world data to transform geophysicists' ability to solve the most difficult subsurface challenges. Two grand challenges targeted by the project are: 1) developing and
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and conducting experiments using various mouse models of disease. This position involves investigating how bacterial agents modulate immune responses to develop novel therapeutic strategies, with a
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scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy. Maintain the laboratory work areas including routine maintenance on laboratory
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other disease models that are valuable in studying the etiology and treatment for these devastating diseases. We combine in vivo, ex vivo, and in vitro methods to study the pathogenic mechanisms in a
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: Employing satellite observation and machine leaning to improve model representation of ice sheet surface melt”. The candidate will work under the direction of Prof Nowicki and in collaboration with multiple
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Position Summary As a Postdoctoral Associate in the Department of Earth Sciences , this position will support an investigation entitled “Earth System Modeling of Regional Sea Level Rise and Risk”. The
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software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock
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ecosystem modeling; downloading and processing projected future climate data; designing field experiments; procuring necessary field and laboratory equipment and supplies; conducting experiments; and