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Field
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supervising Master and/or PhD student to a certain extent. Another important aspect involves collaboration within international academia and with industrial partners. Contract terms The position is a temporary
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, reliability, and security Converged fiber–wireless architectures Within this environment, the project Agentic AI for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying
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. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture for analog CIM accelerator Develop efficient mapping schemes
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architectures innovantes. Cette avancée pourrait transformer les produits pharmaceutiques et agrochimiques, ouvrant de nouvelles perspectives dans ces deux domaines. Activités associées : Participation aux
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Chalmers and Sahlgrenska Academy. Participate in mentoring and supervision of MSc and PhD students within the lab. Engage in the division’s academic activities, including seminars, workshops, and
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on strategic and international projects, and to play a key role in shaping the emerging field of quantum communications and neuromorphic computing. • Opportunity to supervise PhD students and interns. • Various
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mathematical frameworks for multimodal integration, advance video transformer architectures for temporal-spatial dynamics, and develop few-shot learning methodologies for ultra-low-resource scenarios with only
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aims to secure the network infrastructure of distributed AI. The focus is on designing resilient architectures and protocols that combine network-level protections with AI- and system-level adaptivity
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable