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independently Confidence with computational biology including use of programming languages such as R, python and some familiarity with high performance computing Excellent communication and interpersonal
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learning, deep learning tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods
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, longitudinal or multi-state modeling, polygenic risk scores, gene-environment interaction, electronic health record data, or large-scale biobank resources. Experience with high-performance computing
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a related discipline. Strong programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high
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-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution analysis of root growth and soil interactions
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microscopy, -omics technologies, and high-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution
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within ORNL and with the neuromorphic computing and embedded systems communities worldwide. Publish research in high-impact journals and conferences. Author peer-reviewed papers, technical papers, reports
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, contrastive learning, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical
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intersection of fundamental discovery and real-world impact, the role offers opportunities to collaborate with quantum computing companies, application-domain partners, Queensland research institutions, and
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winds, land–atmosphere interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with