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ellipsometry, atomic force microscopy, and scanning electron microscopy is required. Knowledge of atomic layer deposition and materials for energy storage applications is highly desirable. The successful
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asked to provide three letters of reference For full consideration, please apply at your earliest convenience. The position will remain open until filled. If you have any questions you may email Tim Hobbs
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Biology: Strong background in systems biology and regulatory network modeling Interdisciplinary Collaboration: Experience working across disciplines with computational biologists, computer scientists, and
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using software, such as LAMMPS, and machine-learned potentials Experience in GPU programming with Kokkos An understanding of computer architecture and experience in the analysis and improvement
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optimization, etc. Familiarity with electrochemical instrumentation suite (potentiostat, cyclers, electronic load) and materials characterization is welcomed. The applicant is expected to think and work
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
both within and outside the laboratory. Preferred Knowledge, Skills, and Experience Hands-on experience with liquid transmission electron microscopy (TEM). Knowledge of electrocatalysis, especially CO₂RR
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: - Comprehensive understanding of applied computational materials science, including electronic structure methods and molecular dynamics. - Experience with High-Performance Computing (HPC) systems and intelligent