37 computer-security-"https:"-"https:"-"https:"-"https:"-"Karlsruhe-Institute-of-Technology" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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, or psychology. Masters or Ph.D. in Human-Computer Interaction (HCI), Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology will be advantageous. Strong interest and passion in
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence
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rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. The primary responsibility of this role is to deliver on an industry
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deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The Future Ship and System Design (FSSD) programme aims to develop
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as
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if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree
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diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility