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Empowerment Project funded by the National Science Foundation. The project will develop curricular materials to teach scientific reasoning and data visualization across a range of STEM courses by using
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, preparation of scholarly publications and proposals. Individuals with expertise in ion separations research and a PhD in relevant fields (including materials science, electrochemistry, chemical engineering, or
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. Strong background in one or more of the following areas is required: cementitious materials, fracture mechanics, and computational mechanics, and inorganic chemistry. Previous background in experimental
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applications from members of groups that have been historically underrepresented in engineering and materials science. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one
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environmental engineering, mechanical engineering, electrical engineering, material science, or related disciplines *Experience with hardware/software integration, with a focus on system controls *Experience with
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fields of electrochemistry, materials characterization, and inorganic or solid-state chemistry is strongly desired. Experience with meso-scale modeling, data-analysis, and x-ray characterization is
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to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical or Bio Engineering or related area is required. We
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The Department of Ecology and Evolutionary Biology has postdoctoral associates and more senior research positions available in the areas of ecology, behavior, sensory ecology, conservation
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Invention initiative uses AI to fundamentally change the process of invention - from design, to simulation, to fabrication, to control - tackling challenges such as containing plasma, revolutionizing material
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experiments, doing literature review, writing up the research findings. Mentor students on research projects. PhD in computer science Proven track record of publications in AI fairness Be advised that you will