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-generation neuromorphic implants with learning capabilities for healthcare applications, utilizing ultra-low power technology for embedded devices. This topic is a major area of research activity of the IEMN
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__Secure-ROLLOUT_TOKENUsed to track user’s interaction with embedded content. Maximum Storage Duration: 180 daysType: HTTP Cookie __Secure-YECStores the user's video player preferences using
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Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
context of the ANR PRCI CoDaLi project, with Inria Rennes and the RPTU (https://rptu.de/ ). The general objective of the CoCoDaLi project is to design and implement offline and runtime techniques that allow
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. Knowledge, Skills, and Abilities: Knowledge of basic laboratory techniques and practices. Ability to follow established protocols and procedures for tissue embedding and microtomy of paraffin-embedded and/or
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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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masonry brick, creating a new circular construction product and embedding advanced materials science capability within RIG. You will play a pivotal role in developing formulations, validating performance
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/41163 Job Number SE239824 Position Information Department or Unit Name Fowler School
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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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family of microcontrollers and embedded systems design; modelling and simulation using MATLAB/Simulink; signal theory and digital signal processing, including time-domain, statistical, and spectral