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Field
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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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flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process development in the cleanroom Assemble and use custom test
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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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and conference presentations Active participation in professional organizations Basic Qualifications: A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed
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in professional organizations Basic Qualifications: A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years Preferred Qualifications
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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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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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21 Aug 2025 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Chemistry » Biochemistry Physics » Biophysics Biological sciences » Biological
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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