661 parallel-and-distributed-computing-"Meta"-"Meta" positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
-
to the project. Job requirements: Master’s degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 1 year of relevant experience in computer vision, artificial intelligence
-
infrastructure security R&D. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
-
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
-
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
-
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
-
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
-
students with their research projects. Job Requirements: Ph.D. in Electrical Engineering, Computer Science, Mechanical Engineering, or other related fields. Solid Mathematical and Programming skills. Strong
-
Junior Researcher (National Security Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research
-
to support the research for the project titled: Automated IC Recognition and Verification from PCB Images. The objective is to design and develop computer vision techniques to analyse multi-modal PCB