786 parallel-and-distributed-computing-phd positions at Nanyang Technological University
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recovery Perform advanced water analysis Perform membrane fouling characterization and membrane autopsy Prepare research paper, progress report and presentations Job Requirements: PhD degree from a reputable
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, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD in Computational Biology
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Fellowship Programme) and with external partners. Job Requirements: Candidates must have a PhD in one of the relevant fields of Asian Studies, international political economy, political science, public policy
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Programme, the Student Leadership Development Programme, and various Transition and Integration initiatives. Key Responsibilities: Programme Support for the Student Ambassador Programme (SAP) Support the
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University. Requirements: PhD in Computational Chemistry or a related discipline, with post-doctoral research experiences. Strong record of research and relevant publications in reputable peer-reviewed
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encouraged. Requirements Candidates should possess: A PhD or equivalent qualifications in a relevant field (e.g., learning-oriented sustainable assessment, educational technology, artificial intelligence in
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Requirements: PhD in a relevant area (e.g. epidemiology, health science informatics). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case
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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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Prepare matriculation and distribution of matric cards for incoming students Programme Operations: Academic Services Prepare timetables of classes and examinations Prepare attendance lists of the modules
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Professor Rank Candidates should possess: A PhD or equivalent qualification in technology-enhanced learning or learning sciences Research expertise in VR, AR, ILE or related multimodal immersive technologies