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Field
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 20 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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evaluate protein variation and predict maize–fungal protein interactions, connecting host and pathogen variation with disease outcomes and targeted disease- and mycotoxin-control strategies. Learning
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surgery. However, the growing use of TAVI has also increased the need for accurate methods to assess valve disease, identify patients who will benefit from intervention, determine the optimal timing
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optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open-source software and
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes. Develop and optimize experimental setups, testing protocols and data
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analyzed alongside clinical readouts and additional laboratory assay measures of disease to generate novel tools and resources for PRRSV control strategies that benefit United States pork producers. You will
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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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for multimode bosonic and hybrid quantum systems (including open-system and non-Hermitian effects). Design noise-resilient control and optimization strategies, including reinforcement learning (RL) and optimal
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
collaborative research environment that combines expertise in genomics, computational biology, and evolutionary genetics. Research Responsibilities The successful candidate will: Develop and optimize ancient DNA