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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
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The Cancer Science Institute of Singapore – a part of National University of Singapore – is seeking a skilled Big Data Engineer to join the Genomics and Data Analytics Core (GeDaC). We are operating
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in large language models (LLMs), agentic architectures, retrieval-augmented generation (RAG), workflow orchestration and enterprise integrations, in addition to modern software engineering practices
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disability. To achieve this goal, our team works with samples and data collected from rodent models, large animal veterinary patients, and human patients (www.orthobme.com ). A key tenet of our laboratory
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to research excellence in all its dimensions: searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems
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. This includes developing or modifying complex information systems handling large-scale biological data, maintaining the codes in lab GitHub and the data in lab server, explaining the codes and pipelines to the PI
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end-users across computational science, engineering, big data analysis, and artificial intelligence/machine learning workloads. Major Responsibilities – include but are not limited to - Provide timely
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new phase as it prepares to serve increasingly large and complex data sets delivered by new instruments, as well as serve follow-up observations from NASA missions such as the recently launched Nancy
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 19 hours ago
status. Community Information Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education and known as an ideal
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Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy (CS3) to join an international team of scientists working as part of the global AGAGE network and a large