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Field
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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hospitals, independent laboratories, and other health care organizations. Our operations are based at the University of Washington Medical Center, Harborview Medical Center, South Lake Union, Northwest
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inflammatory bowel diseases, optimization of checkpoint cancer immunotherapy, complications of liver disease, autism, C. difficile infections, and others. This provides a unique model for real-world drug
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, composite processing, and manufacturing science to establish structure-processing-property relationships that enable high-performance multifunctional materials. The candidate will work closely with scientists
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the framework of the URANUS project. Main activities : Develop and optimize AESEC experiments coupled with electrochemical systems operating in highly corrosive and/or high-temperature environments. Design
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Salary $113,634 - $125,896 + 17% superannuation About the opportunity We are seeking an ambitious and talented Postdoctoral Research Associate/Fellow to undertake applied research related to the design and
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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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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically