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candidate will work at the forefront of exoplanet research and will have the opportunities to extract scientific results from multiple JWST programs, develop and apply advanced atmospheric and surface models
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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servers have been significantly more successful than institutional repositories, we believe the same model can easily be applied to detailed, structured metadata about datasets, while the datasets
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zebrafish neurobiology or other animal models Highly motivated, enthusiastic, and collaborative Strong track record of publications Excellent writing skills Exceptional organizational skills, including
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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disease-relevant cellular models of EBV-infected B cells, modulate ERAP2 activity, and read out the downstream consequences for antigen presentation, NK and CD8+ T cell cytotoxicity, and B cell survival
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project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV-based
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
/Description: The Institute is recruiting for a Post-Doctoral Research Associate position who has a strong background in systems-based approaches to modeling risks that involve consideration of hazard (e.g
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. The position is closely connected to our activities within automated quality assurance and structural health monitoring of wind energy components and your work will contribute to the development of new knowledge
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. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection