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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus on i) phylogenomic inference of hundreds
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, including but not limited to cement chemistry, material science, or structural materials and mechanics. Candidates with a strong commitment to interdisciplinary research are especially encouraged to apply
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position to advance the understanding of liquid metal plasma-facing materials and first wall concepts for fusion energy devices through surface science experiments. Studies under the controlled conditions of
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and more senior research positions focusing on the scientific, technical, policy, and human dimensions of environmental issues. These areas include issues surrounding global change; energy and climate
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multidisciplinary approach comprising immunology, cell biology, developmental biology and computational biology to complement our primary tools from intravital microscopy. The postdoctoral scholar will have direct
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science and engineering, mechanical engineering, or a closely related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: colloidal suspensions
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. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials science and engineering, mechanical engineering, or a
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are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the research group of a current CSML participating faculty
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques