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Field
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performance and/or high throughput computing Expertise in the theory and usage of high-level Bayesian and/or frequentist statistical data analysis techniques, including stochastic processes and machine
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to study the fundamental properties of molten salt materials to meet scientific objectives Debug and profile applications for high performance Conduct research and report results in journal
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, or a similar scripting and visualization language. Experience with high performance computing. Strong competence in programming with C/C++ or Fortran for model development & debugging. Competence in
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are renewable, with a maximum total duration of three years, contingent on satisfactory performance and continued funding. Responsibilities* Develop and apply analytical pipelines integrating high
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genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data analysis High-performance computing Experience in human population genetics
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Associate category) $2,000 in discretionary funds with opportunity to apply for additional internal funds Access to shared research facilities and high-performance computing Protected time and programmatic
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career stage. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous
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biomedical data. Experience of using high-performance computing. A proven ability to lead research programmes and supervise researchers. Desirable criteria Knowledge of multimodal data integration, including
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 19 hours ago
languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis. The goal of these quantitative systems
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) Experience with molecular dynamics simulation packages (AMBER, NAMD, GROMACS) Familiarity with high-performance computing or GPU-accelerated simulations Interest in G protein-coupled receptor (GPCR