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Field
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 hours ago
the U.S., and (3) optimize produced water disposal operations to maximize stored volumes. The postdoctoral research fellow selected for this project will conduct research in collaboration with NETL federal
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Implementing and optimizing advanced experimental techniques Integrating data across molecular, genomic, and imaging platforms In addition, the candidate will: Contribute to supervision and mentoring of students
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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highly desirable. Experience with computational methods such as density functional theory calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage
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facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies
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calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage. The candidate should have excellent written and oral communication skills, strong organizational ability