69 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Virginia Tech
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data management. • Desire to succeed in a fast-paced research environment with multiple duties. • Demonstrated attention to detail, organizational skills, and excellent communication skills. • Ability
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the biological pathways (e.g. Specific breast milk components, the infant gut microbiome, etc.) through which mothers affect their infant’s brain development. We accomplish this by collecting several concurrent
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the biological pathways (e.g. Specific breast milk components, the infant gut microbiome, etc.) through which mothers affect their infant’s brain development. We accomplish this by collecting several concurrent
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ultrasound to advance molecular biology workflows and contribute to the development of innovative sample preparation technologies. Required Qualifications -B.S. in biology, biomedical engineering, or a related
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behavioral experiments combined with optogenetic, chemogenetic, and pharmacological manipulation of neural circuit function. • Experimental Setup: Develop and maintain behavioral and recording systems. • Data
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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
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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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Forest Sector Industry: A Mixed-Methods Approach.” This interdisciplinary research initiative integrates stakeholder engagement, market analysis, and policy evaluation to develop a strategic
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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introduce innovative approaches for developing next-generation-quality physical genome maps for disease vectors. The candidate will characterize chromosomal rearrangements in the arboviral vector Aedes