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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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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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success. Basic Qualifications: A PhD in physics, chemistry, materials science, computational sciences, biology, applied physics, engineering, or a related field completed within the last 5 years Preferred
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together, and measure success. Basic Qualifications: A PhD degree in Physics, Chemistry, Biology, Computer Science, or a related discipline A minimum of 3 years of experience in machine learning applied
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/facilities for microbiology, molecular biology, ecosystem ecology, plant biology, and genomics in a professional environment with excellent technical support. Basic Qualifications: Ph.D. degree in microbiology
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field based research. Perform research utilizing a full range of state-of-the-art equipment/facilities for microbiology, molecular biology, ecosystem ecology, and genomics in a professional environment