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Information Job Description Summary The Student Research Assistant will assist in the development of an existing research project focused on Resource-Aware Edge Digital Twins for Embedded IoT Systems
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of the computational kernels of AI/ML models developed within the project, targeting their execution on embedded systems and heterogeneous computing platforms. The selected candidate will contribute
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in Trustworthy Embedded AI NextArc all’interno dei WP 5 e WP 7 Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies
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18 Sep 2026 Job Information Organisation/Company UNIMORE Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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. This project will explore potential for embedding core transdiagnostic intervention components for youth affected by adversity into such provision, thereby enhancing this key source of support. As such
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duties. Experience with data entry and general computer applications. DUAL ENROLLMENT DUTIES: Provide clerical and administrative support for the Dual Enrollment department and embedded dual enrollment
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of low-latency wireless embedded systems. The research of this PhD position will be conducted within the IDLab-UAntwerp research group. The successful candidate will join a diverse and international team
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12 Sep 2026 Job Information Organisation/Company Università di Bologna Research Field Medical sciences » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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3D nanostructures and subsequently study electrical transport in these systems using anisotropic magnetoresistance and Hall effect measurements. The role is embedded within the £18.8M EPSRC MetaHub