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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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for predictive modeling scenarios, causal modeling is also within the scope of the position. The position is embedded in the ten-year gravitation grant Stress in Action, funded through NWO (Dutch National Science
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Global East (https://globaleast.org) at Purdue University invites applications for a one-year postdoctoral research position starting as early as July 1, 2022, however a late start date can be considered
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee This position is part of the research project
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
No Position Type Permanent Staff (EHRA NF) Working Title Embedded Transformation Manager Appointment Type EHRA Non-Faculty Position Number 20061866 Vacancy ID NF0009591 Full Time/Part Time Full-Time Permanent
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embeddings. Implements retrieval for search and assistance, writing prompts and evaluation tests, adding guardrails and privacy controls, and monitors quality and performance. Minimum Education and Experience
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the field of runtime, hypervisor and operating systems for next-generation high-performance computers based on reconfigurable embedded platforms. He/she will support the porting on such platforms of selected
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through M&A-driven customer acquisition and demand-side network effects rather than technical infrastructure building. The new embedded capabilities developed during the KTP will provide genuine competitive
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AI workloads: embeddings, vector search, RAG, LLM orchestration pipelines. Experience with ETL/ELT frameworks, API integrations, and event streaming (Kafka/EventHub). Understanding of data modeling
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to the O-RAN and AI-RAN Alliances. Successful candidates have deep knowledge of cellular systems, 3GPP, open RAN, software development for automation, embedded systems, and/or RF equipment, and system