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and qualified Research Fellow to join our research team on the project titled “Development of 3D Vegetation Quality and Intensity Indices”. This project specifically looks at the processing and
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initiatives. Good communication, interpersonal and oral presentation skills. Good polymer science and hollow fiber membrane fabrication and modification background. Good knowledge of membrane processes. Good
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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the following tasks: Development of new large language models for process modeling Development of new decision-making algorithms Provide regular project updates to principal investigator and funding agency Report
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synthesis of novel functional materials. Key Responsibilities: Implement data processing pipelines for materials informatics, including large-scale data mining, curation, and processing. Integrate
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against existing commercial technologies. Key Responsibilities: Perform literature review on data available for commercial processes Provide estimations for data not available in literature Develop process
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, or a related field Extensive experience in the controllable synthesis of nanomaterials. Expertise in machine learning-assisted materials design and process optimization. Expertise in
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competitive salary (> S$70k/year) for the position with the consideration of years of experience postgraduate. The duties of the Postdoc include: Collect and process remote sensing data relevant
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manipulation Experienced in cleanroom process such as UV Lithography, E-Beam PVD, Sputtering, RIE, etc At least 2 years research experience in related area Good communication skills and the ability to work with
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content and interface with the industry Ensure processes and procedures are executed in compliance to the University’s policy framework Constantly seek improvement for laboratory operations (e.g. reduce