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). The successful candidate will contribute to the modeling, simulation, and co-design of next-generation Quantum-HPC (QHPC) architectures, with particular emphasis on integration of quantum and HPC distributed
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peripheral blood stem cell transplantation and tumor models. Studies may also include use of human cells and humanized NSG mouse models. Ongoing research includes novel approaches in activating anti-tumor
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reporting technical results. Strong analytical, problem-solving, written, oral, and interpersonal communication skills. Ability to work effectively in a multidisciplinary team environment and model Argonne’s
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SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania State University is
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models, analyzing and interpreting experimental data, preparing manuscripts and grant applications, and mentoring trainees within the laboratory. A major component of this position will involve mouse
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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the Hobbs Laboratory focuses on understanding how epithelial cells sense and respond to cellular, environmental, and inflammatory stress. Using skin keratinocytes as a primary model system, the laboratory
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to
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clinical study on osteoarthritic pain in veterinary equine populations. Osteoarthritis (OA) is common in horses, and like human OA, equine OA is often idiopathic, develops over years, and shows a poor match
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technologies, digital soil mapping/pedometrics, proximal/remote sensing, and geospatial modeling. The ideal candidate will work and collaborate closely within a research team at Texas A&M AgriLife and USDA-ARS