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) . As a key enabler of NIE’s strategic vision, you will architect and deliver AI-driven automation solutions that enhance institutional productivity, streamline complex workflows, and accelerate digital
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-industry collaborations to attract additional partnerships and funding opportunities. Stakeholder Engagement and Communication Organize industry-academia conferences, networking events, and expos to showcase
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digital transformation priorities. Oversee enterprise-wide infrastructure services including data centres, networks, cloud platforms, and endpoint systems, ensuring high availability, performance, and
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investigation of hardware based artificial neural networks that physically and dynamically grow or “self-evolve” in response to external stimuli used for learning. These artificial neural networks pose a cheaper
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downtime while mitigating security risks. Configure, manage, and maintain security solutions, including system and network security controls, authentication mechanisms, and access management frameworks
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technologies including advanced modelling techniques, sensor networks, data analytics and animal model-based experimentation, CCEH will elucidate the complex mechanisms through which climate change impacts
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, analyze and resolve complex issues. Strong problem-solving skills. Excellent communication skills and the ability to work with cross-functional teams. A collaborative and team-oriented approach to work
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pertain to the research topic "Learning high-dimensional (networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social