1,245 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Singapore
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-research. Requirements: PhD in Computer Science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines; Skilled in using Python, PyTorch, etc., and have the ability
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edge computing architectures; Publish results in top-tier conferences and journals, and collaborate with industrial and academic partners. Requirements: PhD in Computer Science, Computer Engineering
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concepts into impactful solutions and guide their implementation. Requirements: PhD in Computer Science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines; A strong research
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of the world’s leading applied research organizations with around 30,800 employees, predominantly scientists and engineers in Germany. In Singapore, Fraunhofer operates two independent but closely related and
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Join a Leading MA Programme in Museum Studies & Curatorial Practices Position: Administrative Coordinator (3 years contract) Location: NTU Centre for Contemporary Art, Singapore and NTU Campus We
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into a leading global University shaping the future. https://nusit.nus.edu.sg/ Job Summary The Investment Data and Systems Manager play a critical role in maintaining and enhancing the technology
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Part-Time Lecturer for EE6402 Real-time DSP design and applications The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified
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Part-Time Lecturer for EE7207 Neural Networks and Deep Learning The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified candidates
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degree in Computer Science, Data Science, AI, or a related field. Minimally 8 years of experience in data engineering, software development, or similar roles is preferred. Work on tasks
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activities for the grant agency. Job Requirements: Preferably Master’s in Computer Engineering, Computer Science, Electrical Engineering or equivalent. Background and familiarity with reinforcement learning