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improvements can be made. About the role In this role, you will work closely with a team of NHS service data engineers and analysts and university researchers to develop large, linked datasets, based
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project leads and researchers to ensure technical accuracy of the interface Support integration of simulation outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case
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7 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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data, field or lab experiments, text analytics, use of AI for big data). Output orientation: Demonstrated capacity to publish in top-tier scientific journals. Ideal (but not required) is experience with
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for big data). Output orientation: Demonstrated capacity to publish in top-tier scientific journals. Ideal (but not required) is experience with practitioner outlets and other high outreach formats
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projects include detecting API misuse, analyzing program performance, measuring energy consumption, detecting security vulnerabilities, supporting library migrations, and leveraging large language models
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an excess of wild-type DNA. Compare and analyse amplification data from fluorescence-based with label-free photonics sensor readouts. Quantify assay performance using appropriate metrics, including time-to
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
computational researchers to ensure high-quality molecular data generation. Train graduate students and laboratory personnel in molecular techniques and clean-room practices. Assist with laboratory management
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push the development of the AIoT system, which is a key thrust in a Soundscape project. This is a big project where there is a strong emphasis in deployment, testing and scaling up in building
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or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and