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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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demonstrating disruptive new network architectures for AI compute clusters utilizing optical switching to increase efficiency and reduce latency and power consumption. Therefore, the PhD candidate will
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the University of Groningen. The research will be carried out in the Innovative Computer Architecture group. The group of Dr. Farhad Merchant conducts internationally recognized research on computing-in-memory
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About the Hubrecht Institute The Hubrecht Institute is a research institute focused on molecular and developmental biology. Because of the dynamic character of the research, the institute has a variable number of research groups, around 20, that do fundamental, multidisciplinary research on...
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blocks into larger constructs, have emerged as promising avenues for cartilage regeneration. However, this typically results in a larger tissue with a disorganized matrix architecture, not resembling
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home...
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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited
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spanning artificial intelligence, circuit design, computer architecture, and embedded systems engineering. Where to apply Website https://www.academictransfer.com/en/jobs/362502/phd-on-emulation-framework
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of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026
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The Graduate School of Medical Sciences (GSMS) is developing a new blended onboarding programme to help international PhD candidates prepare for their doctoral journey, integrate into the university