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to help develop computational methods and algorithms for novel bi-directional brain computer interfaces. Responsibilities Develop computational methods for analyzing and modeling complex neural
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experience in analyzing data, such as output from regional-scale hydroclimatic models and hydrologic models related to climate extremes. Research skills and interests in analyzing data from various sources
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something bigger: a better model for health and care. As the Project Coordinator, you’ll play a vital part in organizing, communicating, and connecting dots across clinical, research, and academic projects
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to learn more about the total benefits offered. Billing and Insurance office is open Monday through Friday from 8am to 5pm, excluding holidays. Position is currently working in a hybrid model - both on and
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: a better model for health and care. As part of our central EPMO, you’ll join a highly collaborative team committed to excellence, stewardship, and impact. Here, you will: Lead strategic, mission
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seeking a skilled and motivated Senior Integrations Analyst for ERP Systems to join our team. This position follows a hybrid work model, requiring periodic on-site attendance as determined by organizational
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at UT Austin across the general areas of 1. Machine learning for accelerating computational modelling of materials, 2. Computer vision for advanced imaging in materials characterization, 3. Large
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of the cluster initiative is to strengthen expertise in Foundational AI to accelerate materials research at UT Austin across the general areas of 1. Machine learning for accelerating computational modelling
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, implement, and maintain user-friendly computer-based tools for geothermal resource quantification and techno-economic modeling, considering subsurface resources, wellbore configuration, surface plant designs
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semiconductor subsystems. Verification & Test of built subsystems and testbeds. Data collection and analysis for quality control. Requirements verification and testing. Creating and maintaining up-to-date models