419 data "https:" "https:" "https:" "https:" "ASNR" Fellowship research jobs in Singapore
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. Perform data management, large-scale statistical analyses, and ensure high standards of documentation and reproducibility. Work effectively with colleagues across the CTP and with local and international
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field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with
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fixed term contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Biomedical Engineering Employee Referral Eligible: No Job requisition ID
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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responsibilities will include: Prepare biological samples for TEM, including fixation, staining, sectioning, embedding, and mounting. Perform TEM imaging and support data acquisition and basic image analysis
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an emphasis on technology, data science and the humanities. We are seeking Research Fellow to join the Neuroscience and AI Research (Nair) group, led by Nanyang Assistant Professor Aditya Nair, to study how
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Science & Engineering, Chemistry, Electrochemistry, or Data Science/AI with a strong background in materials applications Technical Skills & Knowledge Experience in membrane fabrication and nanomaterials
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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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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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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