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Field
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AI, or closed-loop materials discovery. Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis, or alloy materials. Experience with high
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AI, or closed-loop materials discovery. Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis, or alloy materials. Experience with high
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, statistical mechanics and enhanced sampling, and machine learning for chemistry and materials science. For more information about the research agenda of ICC, see: https://www.simonsfoundation.org/flatiron
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positions, directly supported by TEMPEST, a new National Science Foundation Science and Technology Center, led by Prof. Michael S. Murillo at MSU: https://tempest-stc.msu.edu The successful candidates will
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, national origin and veteran or disability status. Minimum Qualifications Doctoral degree in materials science and engineering, chemical engineering, chemistry, physics, computational science, or a
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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campus culture, and abundant academic resources. It has a strong academic reputation in applied mathematics, computational science, and mathematical physics—making it an ideal place for academic
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, posters, and oral presentations. Experience working in interdisciplinary research environments spanning computational biology, protein engineering, and materials science. We offer Lund University is a
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, computational biology, biostatistics, pharmacogenomics, biomedical engineering, health data science, or a related discipline Experience 1. Demonstrated research experience in one or more of the
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applications to condensed matter physics, materials science, quantum materials, quantum emulators and related fields. The development of the concepts, algorithms and code libraries needed to advance the