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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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disorders. We will establish a program for deeply characterizing the biology and information processing changes of affected individuals and their response to different treatments. Research Techniques will
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell
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Department of Electrical and Computer Engineering. The Postdoc will particularly participate in the design and development of integrated system-on-chips for wireless sensing, communication, and implantable
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell
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collaborators. Required Qualifications • PhD in neuroscience, physics, computer science, applied mathematics, biomedical engineering, or a related quantitative field. PhD awarded no more than four years prior
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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cardiovascular physiology and cardiac disease modeling, including small-animal cardiac surgery models such as transverse aortic constriction (TAC), myocardial infarction (MI), and related models of cardiac stress