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range of laboratory equipment with advanced technologies (including mouse biocontainment units, flow cytometers, aerosol inhalation machine, PET/CT imaging, etc.). Currently, the facility is open to
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microelectronics / materials science / electronic materials as well as experience in applying AI / machine learning techniques (both data and image-based) on interesting use cases as well as strong programming
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, lamination, and testing. He/she will contribute to the development of new application driven materials and production processes, located mostly at Nanyang Technological University. Key Responsibilities: Lead
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/ information/ proposal required for research-related grant call process Conduct experiments related to lipids and sporopollenin-based drug delivery Conduct interpretation and application of experimental results
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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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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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and testing, process modelling, data processing and reporting, progress report preparation, etc. Journal paper publication. Assistance in research proposal preparation, etc. Assistance in mentoring
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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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synthesizing thin-film composite (TFC) hollow fiber membranes Processing and modifying polymeric materials into the design of TFC hollow fiber membranes Characterizing polymeric TFC hollow fiber membranes
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domains and formal methods Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting