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management, and engage directly with stakeholders and policymakers, including the New England Fishery Management Council (NEFMC). This position provides the opportunity to conduct high-impact research
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functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience collaborating
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Number: 6693543 Postdoctoral Employee - Physics/Astrophysics - Physics Department Position overview Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at
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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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, sequencing library preparation). Experience with analyzing microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with
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research experience in water-limited ecosystems. Work will focus on the physiological functioning of water-limited plants and ecosystems under intensifying hydroclimate extremes. The successful candidate
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Investigators at AITHYRA, bridging expertise in machine learning, computational biology, structural systems virology, and chemical biology. Access to high-performance compute infrastructure and expert
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This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate