856 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Singapore
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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digital integrated circuits, utilizing deep learning techniques for better adaptability and productivity. The PACE team aims to advance side-channel and fault analysis techniques for hardware security
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Requirements Master qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python
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emergency protocols. • Promote a culture of continuous learning and improvement, aligned with the Executive Centre’s focus on innovation and sustainability. Crisis Management & Safety • Lead the response
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) Mammalian cell culture (experience with induced pluripotent stem cells and/or adult stem cells preferred) Machine learning and basic bioinformatics A proven solid research experience in the context of multi
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such as AI-enhanced translation workflows, Neural machine translation, large language models, or multilingual NLP, Multimodal and multilingual AI, Translation quality evaluation using AI Teach undergraduate
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. Support the implementation and evaluation of radar signal-processing and machine-learning algorithms (e.g., range-Doppler processing, beamforming, clutter suppression, micro-Doppler extraction). Document
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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well as strong mathematical foundations Research experience in a technical field pertaining to human/machine intelligence or behavioral dynamics, such as cognitive science, machine learning, biomechanics, complex
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community