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; • Experience of working on literature review and data analysis. Preferred skills: • Experience of using large-scale data sets, like smartphone data, smart card data, or large-scale administrative data
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data, ensuring high accuracy and reliability suitable for clinical applications. Utilizing Large Language Models (LLMs) to extract and synthesize medical knowledge from vast amounts of unstructured text
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information retrieval, multimodality sensemaking, question answering and chain-of-thoughts. The Research Fellow will work on a project to conduct the research on development of multimodal large language models
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to) the following: Well versed in operating PTR-TOFMS, maintenance, troubleshooting and data analyses Experience in handling big data via R, Python, Matlab, etc. Experience in laboratory (offline) VOC speciation and
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and big data for collaborative machine learning. Responsibilities: Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in
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Job Description The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics, School of Computing
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development, computer engineering or relevant domain; a Master or PhD degree will be a big advantage. Proficiency with developing VR/AR applications in C# with leading game engines (Unity 3D). R&D experience in
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to) the following: Well versed in operating PTR-TOFMS, maintenance, troubleshooting and data analyses Experience in handling big data via R, Python, Matlab, etc. Experience in laboratory (offline) VOC speciation and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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committed 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