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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and augment the role
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We are seeking a Research Associate/Fellow to join a project funded by the NIH BRC at the University of Nottingham. The project aim is to develop an advanced therapeutic using genetic augmentation
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the academic work to further an application for an intermediate level fellowship. However, those looking to further their medical career through augmentation with advanced imaging experience and familiarisation
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Augmented Human Lab , at the Smart Systems Institute, National University of Singapore is seeking a highly motivated Research Assistant to work on the co-design and development of human–robot
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learning, and computational biology to adapt and augment existing open models for predictive biology. Approaches may include fine-tuning, parameter-efficient tuning, probing, and retrieval- or knowledge
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subtypes. Build and evaluate retrieval-augmented generation (RAG)-based large language models (LLMs) pipelines to extract key entities, relationships, and concepts from peer-reviewed literature, clinical
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: emerging mobility, mixed traffic modelling, connected and automated vehicles, micromobility, experimental design using driving simulators, virtual reality (VR) and augmented virtual testing, and test tracks
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inference techniques. Experience with transformer-based models, LLMs, retrieval-augmented generation (RAG), or foundation models. Experience analyzing complex real-world clinical datasets (e.g., MIMIC-IV
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and augment the role of graduate faculty in providing research
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-making methods powered by supervised and reinforcement learning, which aim at trustworthiness in AI-assisted human control with augmented cognition, hybrid human-AI co-learning and autonomous AI, with