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Field
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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses
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for working with both public health and/or environmental data/models, and experience working with an interdisciplinary team of researchers and stakeholders. This position is based at the Kansas Geological
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patient-derived xenograft (PDX) models to discover novel therapeutic targets and biomarkers. The postdoc will have access to state-of-the-art facilities, multidisciplinary collaborations, and opportunities
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experiments. Develop reinforcement learning models to improve gate fidelity. Leverage CNM’s state-of-the-art facilities, including the nanofabrication cleanroom and the Quantum Matter and Device Lab’s dilution
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compartments. The successful candidate will combine cutting-edge in vitro and in vivo infection models, and both microscopy and flow cytometry-based readouts of infection to develop their independent research
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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preferred. Prior work experience in public health, epidemiology, and/or biomedical research is desirable. Experience in mixed models, and experience with longitudinal data analysis, functional data analysis