169 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "University of Cambridge" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct experimental work, including but not limited to: i. Material and component testing ii. Structural
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such as PCR, gel electrophoresis, DNA purification, and nucleic acid quantification. Maintain accurate laboratory records and experimental documentation. Research & Project Responsibilities Plan and execute
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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
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility...
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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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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of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope