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Field
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
. Evaluation of Vaccinal Efficacy: You learn how to evaluate the vaccinal efficacy of Marek's disease virus vector vaccines, including experimental design, data collection, and analysis to assess vaccine
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assembly through advanced experimental approaches. The role is a full-time, salaried position, and its continuation is contingent upon the ongoing support of the grant. Essential Functions Design and
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: Develop physics-based, data-driven, and hybrid (physics-informed ML) models of thermal systems to capture dynamic thermal behavior Validate models against experimental data and refine model accuracy and
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or co-led research projects and international conference presentations. Brief Description of Duties: The research group of Prof. Ivet Bahar , Director of the Laufer Center for Physical & Quantitative
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experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You are also expected to interact scientifically with
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’ plasma membrane can influence the activity of specialized structures known as mechanosensitive ion channels. These channels act like molecular switches that convert physical forces into biochemical signals
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(within the last 0-5 years) in field experimental physics, engineering, or a closely related field Excellent written and verbal communication skills Demonstrated ability to work effectively in a
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processing, or statistical machine learning. Interest in working with speech and audio datasets, detector models, generative audio models, and experimental evaluation. Motivation to publish scientific articles
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experimental protocol based on the Control of Variables Strategy (Chen & Klahr, 1999; Schwichow et al., 2016, 2020) to investigate the evaluation of information reliability. - Contribute to the development and
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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