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The Chief Architect of Centre of Excellence(CoE) for High Performance Computing and Data Science will serve as the principal architect of DSU’s B200 supercomputing infrastructure, ensuring it
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Professorship (W3) for High Performance Computing and Managing Director Of the German Climate Computing Center (DKRZ) Institution: Faculty of Mathematics, Informatics and Natural Sciences
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high-performance computing and AI, the Chief Architect will drive innovations in computer vision, graphics, NeRF-based systems, and real-time spatial intelligence. Beyond research, the role emphasizes
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a fast paced, high volume work environment. Uses hand and power tools to fabricate, repair and trouble shoot mechanical systems. Accurately use job related equipment to perform quantity work by
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Tenure Track Assistant Professor or Associate Professor in building information modelling and dig...
detailed design and operation of buildings that address the transition of building stock towards low carbon and high quality of life, and (2) to deliver high-quality teaching at undergraduate and graduate
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to collaborate closely with existing structures, such as the FAU Competence Center Engineering of Advanced Materials (FAU EAM), the Erlangen National High-Performance Computing Center (NHR@FAU), the FAU Data
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: High School Diploma or GED. Minimum Experience: Experience providing support around IT systems (e.g. operating systems; setup and configuration of computers and printers in a networked environment
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institution. Maintain regular and predictable attendance. Minimum Education and/or Training: High school diploma/ GED required. Successful completion of Refrigeration training program or equivalent. Minimum
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are programmed. This includes defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing
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and Models of Cognition. Cambridge University Press, 2014. Z. Huang et al. Towards high-performance spiking transformers from ann to snn conversion. ACM Transactions on Neural Networks and Learning