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parallel, we focus on engineering metamaterial structures at subwavelength scales to achieve unprecedented electromagnetic, acoustic, or mechanical properties not found in natural materials. We
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the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex
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. ICN2 offers also in-house specialized seminars, such as our Open Knowledge Program, and training in various transferable skills, such as technology transfer and intellectual property, among others
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considered the realm of science fiction. Additionally, i-BRAIN will instill a positive and highly interdisciplinary culture in the training of young scientists, engineers and doctors
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Background: An advanced degree (Ph.D. preferred) in Artificial Intelligence, Computer Science, Engineering, or a related field. Leadership Experience: At least 2 years of leadership experience in academic
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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' life cycles. Within the framework of the TRANSCERIA-MAT project ("Oxygen Vacancies in CeO₂ Nanoparticles: Controlling ROS Modulation through Precision Synthetic Engineering"), the group investigates
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Technology” was ranked first in the world for four consecutive years. In the global database of Essential Science Indicators (ESI), 10 disciplines including Biology and Biochemistry Materials Science, Clinical
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Founded in June 2022, HKUST (GZ) is located in Nansha, Guangzhou, the geometric center of the Guangdong-Hong Kong-Macao Greater Bay Area. It is perfectly placed for geographical convenience and forms part of an axis for technological progress. They call it the new Silicon Valley of the East. It...
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areas of nanoscience and nanotechnology. Job Title: Postdoctoral Fellowship in Hybrid Quantum Devices and Transduction Research area or group: Physics and Engineering of Nanodevices Group Description