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models, with a focus on their applications to next-generation MR image reconstruction. Train deep neural networks; perform quantitative data analysis, collect and analyze data, including periodic
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models, with a focus on their applications to next-generation MR image reconstruction. Train deep neural networks; perform quantitative data analysis, collect and analyze data, including periodic
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, Environmental Engineering, or a closely related field. A minimum of one year of experience in target and non-target analysis using LC-MS/MS or LC-HRMS working with emerging contaminants such as PFAS, opioids and
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mathematical analysis, and implementation level where actual systems for these proofs are developed for deployment in larger real world applications. An ideal candidate would have multiple publications
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral degree or foreign equivalent. Experience in crystallography, pair distribution function analysis, and
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field in hand by the time of hire. Experience with viral infections and analysis of cellular responses to viral infection. Understanding of experimental procedures used to study viral replication, spread
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field in hand by the time of hire. Experience with viral infections and analysis of cellular responses to viral infection. Understanding of experimental procedures used to study viral replication, spread
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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data, image data analysis, and writing up results for publication in peer-reviewed journals. The successful applicant will be highly motivated, self-starting, curious, and collaborative. Computational
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mouse models in kidney disease; * Data analysis and manuscript preparation, including producing figures for manuscripts; * Laboratory maintenance, including keeping a detailed laboratory notebook, and