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for the DOE Oak Ridge Environmental Management Science Education and Internship Program, you will need to meet the following eligibility criteria at the time of application: Have a cumulative GPA of 3.0 on a
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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, nanoparticle arrays, and electrochemical catalyst systems, ensuring reproducible and contamination-free data. Link real-time TEM data streams to digital twin and AI platforms, using cloud-based computation
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with high-performance computing (HPC) environment, cloud-based computation, software tools for genetic epidemiologic analyses (e.g. GWAS, whole-genome sequencing, polygenic score, Mendelian Randomization
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Computational Materials Science Researcher (PDF)
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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sequencing data, whole-genome alignments, and assemblies is preferred. Candidates should be familiar with computational biology techniques and scientific programming. Prior experience with cloud and/or high
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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inclusion creates exceptional educational opportunities which prepare students for success in a global society. Position Purpose: Research support for program evaluations, needs assessments, and other
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, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience