177 parallel-processing-bioinformatics research jobs at Nanyang Technological University
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Responsibilities: To develop process for cooling high-power electronics To fabricate device prototypes of such cooling device Conduct research and experiments at the MAE laboratory facilities Supervise and guide PhD
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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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, process modelling, data processing and reporting, progress report preparation, etc. Journal paper publication. Assistance in research proposal preparation, etc. Assistance in mentoring junior students
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to InSAR and other remote sensing observations. Successful candidates will have a Bachelor’s degree in a relevant field (e.g., earth science, civil / electrical engineering, image processing, and deep
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surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc). Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular
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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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plasma process equipment. Characterize the influence of magnetic field on plasma flow. Conducts various design experiments to refine processes. Optimize vacuum coating processes, and leading R&D efforts in
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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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, 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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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