455 parallel-and-distributed-computing-phd-"Multiple" Fellowship positions in Singapore
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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presentation of data to relevant stakeholders Generating conference presentations and papers for submission to peer reviewed journals Collaborating across teams, contributing to multiple research projects
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capacity-building efforts and stakeholder engagement such as organising and coordinating events, workshops, meetings, webinars, etc. • Support the delivery and execution of programme work across multiple
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Maritime Security Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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rapid increase in the uptake of higher research degree candidacies (especially PhDs), the provision of technical training to the Department, and the support of clinical trials. The successful applicant
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS