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scientists for research and development activities focused on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution
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. The DataX Postdoctoral Research Associate positions are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the
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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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field, such as Computer Science, Robotics, Civil Engineering, Architecture, etc. Excellent track record of research and publications related to the job description Strong scientific writing and
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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
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Geochemistry, Geomicrobiology, Environmental Chemistry, Biogeochemical Cycles, Paleoclimatology, Oceanography, Atmospheric Science, Geodynamics, Geochronology, Earth History, Seismology, and Planetary Science