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the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant
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, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when
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research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant regulatory guidelines. Lead the exploration and application of innovative analytical approaches. Manage a team
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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at https://energyaccess.duke.edu/ . The scholar selected for this position will work closely with EAP faculty (including Profs. Marc Jeuland and Robyn Meeks) and with co-director Jonathan Phillips, as
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robust spectral and angular performance, ensuring stable optical behavior over wide incidence angles, large-area scalability, and environmental robustness. The main objectives of the project are: • Design
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research project “Is the brain network involved in sentence comprehension replicable and robust?”, led by Dr. Jurriaan Witteman. The project will investigate the neural mechanisms underlying sentence-level
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accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting for real-world interference, noise, and channel
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Human Performance Alliance. https://humanperformancealliance.org/ Postdocs are limited duration, funding contingent appointments for one year with a possible annual renewal for up to two additional years
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
also analyse already-made simulations to test management strategies balancing all actors' expectations in order to provide robust predictions of forest's contributions under both climate change and