54 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" uni jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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FACULTY POSITIONS (AT ALL LEVELS) IN COMPUTER SCIENCE, COMPUTER ENGINEEERING AND INFORMATION SECURITY The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning
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, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources. Contribute to publications and technical notes to disseminate research outcomes. To communicate and liaise with any
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into viable partnerships across areas such as Generative AI, Large Language Models, Computer Vision, Digital Twins, and Multimodal AI. Success in this role requires strong commercial instincts, the ability
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programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning
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The Health and Social Sciences Cluster at SIT has been at the forefront of allied health education and research, offering a suite of allied health programmes and two nursing programmes. As a young
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programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning
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to support day-to-day operations. 5. Training and Workshop Support Plan and execute training courses, workshops, and seminars to support food companies and foster industry innovation. Job Requirements
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of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies
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programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning
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degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Working