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and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods. Support the design and implementation of research prototypes and
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and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting
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on data-driven decision-making. The second area, management of information systems, covers various topics related to information systems, from their management and use to their implementation
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the opportunity for fellows to perform research in a scientifically and technologically rich, mission-driven environment; present and publish research; contribute to the overall research efforts of the Laboratory
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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models
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to artificial-intelligence-driven monitoring systems to forecast and manage stored product insect populations and insecticide resistance. Home to Kansas State University and The Flint Hills, Manhattan, KS
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to the Stonewall Workplace Equality Index. We support flexible working and studying. Our research is driven by four core themes —Energy, Sustainability, Environment, and Health—complemented by interdisciplinary
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computational theory, analysis, and modeling of neuroscience data and concepts. Proposals focused on disease mechanisms or that do not contribute to our understanding of non-disease states are not suitable
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microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data. This position offers an opportunity to work
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knowledge of their development and structure. Working closely with colleagues at the Universities of Leeds and Reading, you will integrate theoretical understanding, observational data, and modelling