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technical support staff, as well as scientist in integrative microbiomics, synthetic biology, and the bioanalytical mass spectrometry groups at ORNL and partner institutions. You will design and execute
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-task efforts in molecular biology, NMR, dynamic nuclear polarization (DNP) and macromolecular crystallography, and collaboration with computational scientists developing ML and AI tools for molecular
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Associate, Plant Systems Biology) to functionally characterize genes and pathways involved in the regulation of plant-microbial interactions. This research is supported by U.S. Department of Energy Plant
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Computational and Predictive Biology Group in the Biosciences Division (BSD
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in biophysics, computational biology, chemistry, polymer science, engineering, or a related field Experience
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Associate, Plant Systems Biology) to conduct basic research on plant genes and phenotypes that are foundational to developing sustainable biomass feedstocks. Selected applicant will join a team of diverse
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plant biologist (Postdoctoral Research Associate, Plant Synthetic Biology) to work on plant biosystems design and genetic improvement of bioenergy crops. This research is supported by the Secure Ecosystem
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Associate, Plant Systems Biology) to conduct basic research on plant genes and phenotypes that are foundational to developing sustainable biomass feedstocks. Selected applicant will join a team of diverse
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Requisition Id 13141 Overview: We are seeking a research scientist who will focus on the development and implementation of microscopy methods for characterizing low temperature electrolyzer and fuel cell components, including catalysts, electrodes, membranes, porous transport layers, and bipolar...
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significance in energy, environment, and health through collaborative research and advanced technologies. BESSD leads convergence research in biology, ecology, engineering, data discovery, physical sciences, and