188 parallel-and-distributed-computing-"UNIS"-"Meta" Fellowship positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
on Phase Field modelling and High-Performance Computing (HPC) for geophysical applications. The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school
-
(PhD) (completed or near completion) in Human-Computer Interaction (HCI), Communication, Computer Science, Information Science, Psychology, or a related field. Proven track record with publications in
-
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
-
We are seeking a Research Fellow to lead research on advanced Rydberg atom–based quantum sensing platforms at CQT, NTU. The role involves experimental work on electromagnetic signature detection, developing robust sensing protocols, and delivering solutions for real-world applications. The...
-
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
-
institutions and expertise in secure distributed systems will be highly valued, enabling the candidate to bring transferable knowledge to address the security challenges in emerging blockchain ecosystems and
-
requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in