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neuroscience • Psychological and brain sciences • Medical • Biomedical • Nanofluidics and microfluidics • Biomimetics and biofilms • Social media analysis and predictive modeling • Molecular, cellular
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segmentation, tracking, classification, and more. You will utilize probabilistic models to produce uncertainty-aware predictions across scales. This role requires deep knowledge of the underlying models and
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these models for scalable vision tasks, instance segmentation, tracking, classification, and more. You will utilize probabilistic models to produce uncertainty-aware predictions across scales. This role requires
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short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning
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materials databases to be integrated into the NIST-JARVIS (https://jarvis.nist.gov/ ) infrastructure. We work closely with experimental collaborators for validation and focus on releasing software, models
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to validate, interpret, and document financial data, resolve discrepancies, and clarify business rules. Responsibilities Develop reports and analytical insights for predictive budgeting models that support
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fundamental physical model to understand the process of fire spread for wildfires, as part of the European Research Council grant FIREMOD: (https://cordis.europa.eu/project/id/101161183 ). This is a full-time
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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns
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with advanced analytics techniques such as predictive modelling and data mining. - Experience with artificial intelligence and machine learning applications in data analytics. - Proven leadership in