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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon structural design. Additional Information The College of Arts, Media and
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, electrocatalysis, sustainable energy, and machine learning. We develop and apply electronic structure theory, i.e., density functional theory and correlated wavefunction theory, to design heterogeneous catalysts
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University is seeking a Postdoctoral Research Assistant to support internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon
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hearing and vision with a target of addressing perceptual and cognitive declines associated with aging. Topic 2 - Lifestyle interventions (including, but not limited to art-based interventions, mindfulness
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and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine