114 parallel-programming-"Meta" Fellowship positions at Nanyang Technological University
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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, or a related field. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with
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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy
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be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based
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, MAVLink). Hands-on experience with communication systems (e.g., Wi-Fi mesh, 4G/5G, UWB). Familiarity with swarm algorithms and real-time control systems is highly desirable. Strong programming skills in C
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Science, Informatics or equivalent. Independent
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. To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware. To perform any other duties related to the research program. Job Requirements
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and