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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 2 months ago
The Wolfe laboratory will be filling a postdoctoral position to develop therapeutic genome editing reagents for muscular dystrophies and cancer. These projects will focus on: 1) The development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy
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develops in addition system models to monitor and understand operational behavior and to act upon system irregularities. This PhD research focuses on achieving automated computational design synthesis
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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-wide failures. The goal of this project is to develop a theoretical foundation for understanding and mitigating memory poisoning in LLM agents. This position, funded by the Swedish Research Council (VR
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, the fellow will carry out research activities aimed at developing new decentralized membership and communication solutions that are resilient to Byzantine faults and offer performance compatible with Web3
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. 10 PhD vacancies are available in six universities. For more information, regularly check the individual vacancy pages of the universities listed on the project website [https://heritour.eu/ ]. About