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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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, electrophysiology, live-cell microscopy, cryo-electron microscopy (cryo-EM) or cryo-electron tomography (cryo-ET), structural biology, quantitative image analysis, mouse models, or bioenergetics. Our laboratory
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. Proven ability to be an excellent team player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site
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prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational
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through peer-reviewed publications and/or preprints • Ability to work independently as well as collaboratively Preferred Qualifications • Experience using Drosophila (fruit flies) as a research model
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electrocatalysis: The research involves the application and development of ab initio methods, molecular dynamics and kinetic Monte Carlo simulations to model electrocatalytic oxidation and reduction reactions
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inflammatory bowel diseases, optimization of checkpoint cancer immunotherapy, complications of liver disease, autism, C. difficile infections, and others. This provides a unique model for real-world drug
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or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active
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how policymakers use research evidence. This includes evaluating dissemination and impact or research translation models, such as the Research-to-Policy Collaboration model. The Scholar would be
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independent work may use, extend, or contribute to NCEMS Working Group data products, analytical tools, computational models, and methodological innovations. The scholar will also collaborate with NCEMS Working