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for back-end-of-line (BEOL) integration with CMOS. Key responsibilities include: • Develop and optimize ALD processes for oxide semiconductor channel materials (e.g., IGZO, ITO, IZO) and BEOL-compatible
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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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Optimization & Management of Power Allocation, Surface & Subsurface strategies), our Industrial Affiliates research consortium on large-load industrial growth in Texas — data centers, oil and gas operations
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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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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL across Mobile County Health Department (MCHD) service areas. • Support measurement and
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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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devices, and advanced electrical detection techniques. Key Responsibilities • Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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data collected longitudinally across the post-infection study time course to optimize machine learning methods that predict disease outcomes and identify host factors and interactions that most heavily