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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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) and Quantum Key Distribution (QKD), to ensure cryptographic agility within silicon. This work aims to protect critical infrastructure from future decryption risks and maintain a robust hardware root of
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. Job Requirements: Preferably Bachelor’s degree in Computer Science or related disciplines from a reputable university. Good knowledge in parallel and distributed computing, and algorithm design
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Reporting to the Centre Manager at the NTU Centre in Computational Technologies for Finance (CCTF), the Senior Assistant Manager / Assistant Manager will lead and manage the full spectrum
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language models, with multiple publications in leading conferences and journals. Familiarity with distributed training frameworks and high-performance computing environments We regret that only shortlisted
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distributed control system hierarchy over industry standard communication protocols such as MODBUS TCP, IEC61850. Design and maintain SCADA applications, GUI/HMI, PLC programs and edge devices. Create APIs
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Prepare matriculation and distribution of matric cards for incoming students Programme Operations: Academic Services Prepare timetables of classes and examinations Prepare attendance lists of the modules
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). Experience with distributed storage and computing (Ceph, Lustre, Open MPI, NVLink). Familiarity with Proxmox VE, Slurm, and user management (LDAP/FreeIPA) is a plus. Capable of leading a small team (3–4 people
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publishing high-quality research papers in top-tier conferences and journals. Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems). Good written and oral
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a