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methods and foundations. Strong programming skills, including the use of Python / TensorFlow /PyTorch. Experience using high-performance computing systems. Ability to work with multidisciplinary teams
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Effective spoken and written English required. High level of computer literacy required. The individual must be able to navigate the highly complex and often unpredictable nature of scientific research, as
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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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blotting, RT-PCR and ELISA. Organized and hard-working person who performs to a high standard. Excellent ability in yeast genetics and cell biology. Familiarity with vps74/GOLPH3 biology in yeast. Ability
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our growing research team. These positions focus on developing next-generation AI and high-performance computing (HPC) methods for computational imaging and spatiotemporal data analysis. We
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provides a unique opportunity to work at the interface of plant genomics, metagenome analysis, and computational systems biology, in collaboration with researchers at national laboratories (PNNL, NREL) and
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doctoral levels, Georgia Southern has been designated a Carnegie Doctoral/R2 "high research" university and serves more than 29,500 students from all 50 states, Washington D.C., and Puerto Rico as
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for state-of-the-art high performance computing architectures. Study the dynamics and properties of lattice models of nonequilibrium quantum materials using innovative computational techniques. Collaborate
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resources, or hydrology. • Experience or familiarity with GIS, high-performance computing, or data integration methods. • Ability to work effectively on multi-disciplinary research teams
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processes to deliver high-quality ferroelectric thin films for next- generation computing applications. Work closely with modeling team in Subproject 1 and device teams in Subproject 3 and other project