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Field
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis, manuscript preparation, and
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
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. Analysis and write-up of papers from already collected-data, involvement in grant proposals, and other duties as assigned. Salary Range: Base pay is commensurate with experience. The above statements are
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/benefits-overview . Posting Summary The postdoc will carry out cutting-edge neuroscience research in a vibrant research environment, performing experiments and data analysis, authoring publications and grant
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 15 days ago
candidate has excellent quantitative and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects, contribute
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations