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with demonstrated ability to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph
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, molecular biologists, bioinformaticians, epidemiologists, and other public health professionals. Research and training activities may include: Participating in the development, optimization, evaluation, and
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geometries, and optimization of surface and volumetric meshes. The fellow will also develop and evaluate multiphysics computational models coupling microwave electromagnetic energy deposition with bioheat
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in nano-Darcy shale rocks and propped fractures, with analytical and numerical modeling to interpret multiphase transport and evaluate optimal drawdown strategies for improved production. In
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of disease, the optimization of health, and the ways in which behaviors can influence disease prevalence and progression. The Center for Health Equity Outcomes Research (CHEOR) Center promotes community
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carrying out mentor-guided experiments for method development, optimization, and validation to assess performance characteristics such as accuracy, precision, analytical measurement range, limits
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stage of the biomonitoring project associated with the appointment. Analytical method development and optimization – You may gain experience designing and carrying out mentor-guided experiments
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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, business analytics, and organizational optimization in a public health setting. You will have the opportunity to train on projects focused on improving the efficiency and effectiveness of communication
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interface optimization within unconventional reservoir rocks. The role balances core DOE deliverables on fundamental huff-and-puff mechanisms and processes with exploratory research into advanced chemical