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Ha, Assistant Professor of Electrical Engineering and Bioengineering Research Project Description This project aims at developing an implantable self-powered cardiac stimulation system, which features
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About the Role The School of Electronic Engineering and Computer Science at Queen Mary University of London seeks to recruit a Research Assistant (RA) or a Postdoctoral Research Associate (PDRA
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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Faculty: Engineering Department/Research Group/Centre: Nimbus Location: MTU Cork Campus – Bishopstown Duration: 24-month Fixed Term Whole-Time Contract (latest contract end date 31st December 2028) Funding
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3 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Medical sciences » Other Technology » Energy technology Technology
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collaboratively with others and contribute to a team environment. - Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. - Communication: Strong and clear written
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applications. Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine learning, depending on the specific research focus
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experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares
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machine learning and AI to improve inversion, interpretation, and autonomous monitoring. Publish peer-reviewed research and contribute to external funding proposals. Mentor graduate students, undergraduate
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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large