51 processor "https:" "https:" "IFM" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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. Any other ad-hoc duties assigned by supervisor. Job Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems For network engineer role: Experience in computer networking, multiplayer architecture, and
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learning, and rheology will be advantageous. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409587/research-fellow-eng… Requirements Additional Information STATUS: EXPIRED X
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to apply Website https://www.timeshighereducation.com/unijobs/listing/409450/research-fellow-eng… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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, to ensure proper operation and maintenance of equipment. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409439/research-fellow-eng… Requirements Additional Information
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computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time