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are being investigated for energy-efficient artificial intelligence (AI) applications. Some examples are RRAM or STT-MRAM collectively known as memristor-based Computation-in-Memory (CIM) accelerators
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collectively known as memristor-based Computation-in-Memory (CIM) accelerators. However, these new technologies and computing paradigms face various design challenges in terms of design and technology challenges
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looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable digital CIM-based AI accelerator design for future neuromorphic accelerators. The candidate will work on the
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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital
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We are looking for a results-oriented postdoctoral researcher to accelerate our strategic partnership with ING and drive innovation at the intersection of banking and Large Language Models (LLMs
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The accelerating transition toward climate-neutral energy systems is reshaping landscapes and affecting biodiversity worldwide. Achieving net biodiversity gain while advancing renewable energy
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scenarios, providing techno-economic insights to accelerate their deployment in real-life applications. They will join the Center of Expertise (CoE), in charge of providing techno-economic assessments
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different scenarios, providing techno-economic insights to accelerate their deployment in real-life applications. They will join the Center of Expertise (CoE), in charge of providing techno-economic
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postdoctoral researcher to accelerate our strategic partnership with ING and drive innovation at the intersection of banking and Large Language Models (LLMs). The role focuses on designing, validating, and
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and how stakeholders can contribute to this) as well as possible adaptations of the strategy given an expected accelerated sea level rise and an increasing pressure on space for various user functions