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research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 10 hours ago
when applying online within the Resume/Cover Letter section of your application: Resume/CV Cover Letter Contact Information for 3 Professional References Applications that are missing any of the required
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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 are supported by
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 3 hours 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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environment and appreciation of differences in the workplace The selected candidate must have, or be able to acquire, Special Sworn Status, to work in the Federal Statistical Research Data Center (FSRDC), of
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variety of different materials and minerals available both within New Zealand and internationally. You will utilize a variety of analytical equipment (ie. SEM-EDX, XRF, XRD, TGA, FTIR, GC …) to assess and
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, opportunities for conference participation. Application Procedure Application must include: A detailed CV A cover letter highlighting relevant experience A list of publications Contact information for 1–2
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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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make a difference in the world! Position Information We are seeking a Postdoctoral Research Associate to join a research and extension team focused on urban horticulture, with an emphasis on controlled
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. Major project goals will include: inferring the most comprehensive squamate evolutionary tree to date; its integration with fossil data to produce accurate divergence time estimation for all major groups