218 postdoc-parallel-computing Fellowship positions at Nanyang Technological University
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preparation of research proposals and grant applications Job Requirements Must hold a PhD degree in transport engineering, maritime transport and management, computer science, or a related field from a good
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The Research Centre for Residue and Toxic Industrial Waste Management (TREASURES) at NTU is seeking a dynamic, highly organized, and resourceful Research Fellow to join the team. Key Responsibilities: Operational and Resource Management: Monitor and coordinate financial and administrative...
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) or with big, ambitious ideas that extend the lab’s focus. You will receive direct mentorship, generous support, and space to launch a scientific program you can carry with you into a future faculty role
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stakeholders. Maintain regular communication with internal and external collaborators to facilitate project progress. Participate in departmental, research programme, or institutional activities and committees
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. Collaborating with scholars from computer science and statistics to support the multidisciplinary research of economic world models. Promoting the research on economic world models in the world-leading finance
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, or a related field Strong background in computational modelling of surface chemistry and oxide materials Experience in developing and training interatomic machine learning potentials Experience in
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research, analysing user and learning data, and producing academic and grant-related outputs. Requirements: Essential PhD in Education, Learning Sciences, Educational Technology, Human-Computer Interaction
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outlets. Required educational qualification, experience, skills and competencies: PhD graduates, in medical AI, healthcare informatics, bioinformatics, computer science, AI implementation science, or
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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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deeply involved in refining LLMs to support students’ computational thinking skills and interdisciplinary learning competencies, handling and coordinating large-scale data collection, analysing data around