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Basic proficiency related to geospatial analysis (e.g., ArcGIS, QGIS, Google Earth Engine). Strong oral and written communication skills. Experience working with and managing interdisciplinary research
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of the mass spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization
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model over the Contiguous United States, and evaluate model deficiencies and model improvements to improve the modeling of spatial heterogeneity of LST in land surface models. In Addition, Will Also
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. The project goals are to evaluate the geochemical characteristics of acid mine drainage (AMD) fluids and treatment solids at sites that are known to be enriched in rare earth elements, cobalt, and other metals
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decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working
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international applicants. Applications will be reviewed on a rolling basis starting June 12, 2025, and will remain open until filled. This is a full-time position, eligible for all Duke benefits (https
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scientists, and will continue to grow and expand. We are committed to building a group that is inclusive and representative of our community. For this reason, we strongly encourage applicants who come from
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responsive to lab agendas/goals in a timely manner. This Postdoc appointment allows for many technical, analytical, and professional career development opportunities to collaborate. The candidate will have