Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Nanyang Technological University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore University of Technology & Design
- Singapore-MIT Alliance for Research and Technology
- NANYANG TECHNOLOGICAL UNIVERSITY
- Nanyang Technological University L J Wong Group
- University of Arts Singapore
-
Field
-
system model simulation and analyses, data assimilation, large-scale data collection and synthesis, high performance computing, and deep learning Strong academic writing and communication skills Prior
-
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
-
The Research Fellow will join a translational cancer research program focused on understanding the molecular mechanisms underlying haematological malignancies, including multiple myeloma (MM), acute
-
computation in the face of malicious adversaries. Key Responsibilities: To conduct high quality research in cryptography (Average of at least 2 publications per year in high quality journals and conferences
-
. 📈Growth & Development: We believe in continuous learning, offering mentorship, career development, and upskilling opportunities. 🤝Collaborative Culture: Join a high-performing team that values trust
-
. • Partner with academic mentors and faculties to align academic progression with programme objectives and performance standards. Engagement, Partnerships and Programme Impact • Lead execution of high
-
intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
-
admissions processing, enrolment, matriculation, learner communications, and post-programme support. Serve as the primary point of contact for CET learners, providing high-quality support and managing all
-
environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs
-
algorithms and frameworks • Develop comprehensive simulation environments and establish testing protocols • Conduct in-depth analysis and optimization of navigation system performance