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The Department of Geography, at the University of California, Santa Barbara seeks a qualified candidate for a post-doctoral research position in ocean dynamics and modeling. The qualified candidate will have the
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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well as collaborator data and publicly available data from an array of cities. As such, the postdoc should have strong experience working with large datasets, modeling ecological data, and maintaining national
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maturation, characterizing performance and properties of nuclear fuels and materials, and generate the data to advance physical modeling and simulation. The primary function of this open position is to perform
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/Administrative Internal Number: 6380117 University of California Irvine Postdoctoral Scholars, Beckman Laser Institute Position overview Salary range: The salary range for this position is $66,737 - $80,034
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Biomedical Science related Master´s degree or DVM degree in addition to a PhD are preferred. This position will require attention to detail, leadership abilities, problem-solving skills, and a passion for
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skills for this position. Specifically, the PA will use generalized additive mixed-effects models to analyze data from existing and ongoing projects. Fluency with the R programming language is essential
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positions. We among others do this through our gender equality plan and the cascade model measures which we actively implement to enable sustainable equal opportunities in academic career paths. The GFZ thus
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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analytical skills, and a creative, convergent approach to analysis. This position offers a unique opportunity to work at the forefront of energy and industrial systems modeling, contribute to multi