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Field
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of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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in the Department of Molecular, Cellular & Biomedical Sciences at the University of New Hampshire. The lab’s research centers on development and application of mass spectrometry-based proteomics and
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, senescence, and wound repair; collects and analyzes data for research sponsored by appropriate agencies and Institutions; identifies and selects problems to be studied; develops and troubleshoots new
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, and rural health. The Postdoctoral Scholar will have opportunities to collect data, manage and analyze large datasets, prepare manuscripts (as first or co-author), prepare conference abstracts, and will
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policy, health equity, and young adult and rural health. The Postdoctoral Scholar will have opportunities to collect data, manage and analyze large datasets, prepare manuscripts (as first or co-author
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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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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
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develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental
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. Working within an interdisciplinary team, you will develop frameworks that connect atomistic features, mesoscale dynamics, and device-level performance. The effort will integrate heterogeneous data from