239 parallel-and-distributed-computing-phd Fellowship positions at Nanyang Technological University in Singapore
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project titled “Toward Cognitive Digital Twin as A Unified Platform for Smart Cities: Governance, Sustainability and Applications”, in collaboration with ITB, Bandung, Indonesia under the INSPIRASI program
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. Key Responsibilities: The research fellow will be leading the development of AI-based decision-making
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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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applications. Job Requirements: PhD Degree from a reputable university with relevant research experience/expertise and strong journal publication record. Prior experience on similar research and strong record
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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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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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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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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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for presentation of research to relevant stakeholders Job Requirements: PhD from an internationally recognised university in Psychology or Education or related fields; specialisations in Quantitative Psychology and