644 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "Univ" research jobs in Singapore
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given - Perform microscopy and nanodevice analysis Program and design PLC systems Apply Computer Vision for machine hardware feedback and control Generate technical reports, white papers, and
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off-chain data integrity. Implement TEE-based off-chain computation for confidential transaction execution. Integrate blockchain with IoT devices, metering systems, and energy assets for real-time
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; Engineering design, fabrication and procurement of laboratory instruments and fixtures. Maintain trial database, should be able to analyse data through Statistical Procedures (appointed person will be
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, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl@nus.edu.sg for further details and to arrange
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(specifically PCECs). Proven experience in developing and validating numerical models (e.g., using COMSOL). Hands-on experience with programming for numerical optimization, machine learning, and data processing
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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required by the research component of the project. Independently analyse complex data sets. Write and review research papers, present research outcomes, conceptualise new ideas and develop plans
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated and innovative senior research scientist to join our cutting-edge project at the intersection of RNA therapeutics
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an emphasis on technology, data science and the humanities. We are seeking accomplished and highly motivated Research and/or Senior Research Fellows to join an Industry Alignment Fund - Pre-Positioning (IAF-PP
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl