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ontology alignment Develop multi-agent or RAG -style (retrieval-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional
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ontology alignment Develop multi-agent or RAG -style (retrieval-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional
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about the innovative work here: https://wyss.harvard.edu/technology/inode-implantable-lymphoid-organs-for-ovarian-cancer-therapy/ What you’ll do: Integrate multi-omics, spatial pathology, and clinical
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characterization of support will be issued through Stanford's Office of Postdoctoral Affairs. Appointment Start Date: Flexible, but no later than Fall 2027. Group or Departmental Website: https
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about the innovative work here: https://wyss.harvard.edu/technology/inode-implantable-lymphoid-organs-for-ovarian-cancer-therapy/ What you’ll do: Integrate multi-omics, spatial pathology, and clinical
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California State University, San Bernardino | San Bernardino, California | United States | about 1 month ago
/ augmented-reality technology. Responsibilities: Under direct supervision, duties include but not limited to: Paws Radio is a student-run, on-campus, 24-hour broadcast facility and multi-media learning
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California State University, San Bernardino | San Bernardino, California | United States | about 1 month ago
broadcast, in-person promotion, live/remote broadcasting, television equipment, and virtual/ augmented-reality technology. Responsibilities: Under direct supervision, duties include but not limited
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School is available at https://english.hku.hk/ . Please note that the School is not involved in English as a Second Language (ESL) teaching. Enquiries about this job position can be sent to the School
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architectures utilizing Model Context Protocol ( MCP ), retrieval augmented generation ( RAG ), tool integrations, orchestration frameworks, enterprise knowledge systems, and API -based solutions. Create
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, such as face recognition, augmented virtual reality, voice assistance, and medical diagnosis. This new paradigm is further accelerated by AI chips and ASICs embedded on mobile devices, e.g., Apple’s