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that directly relate to this position. Design and Development of eLearning materials/courses Facilitate instructor led training sessions on various IT applications using provided scripted materials. Train
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NTT Instructor - Electrical & Computer Engineering - (25001455) Description Temple University's Department of Electrical and Computer Engineering is seeking passionate educators to teach, develop
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Applications: Microsoft Outlook Preferred Other Computer Applications: Research EDC Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/94825
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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eligible. Required Computer Applications: Microsoft Excel, Microsoft Word Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Knowledge of current nursing procedures
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 25 days ago
scholar will be working in the Inria-AIO team (https://team.inria.fr/aio/ ) at the Paris center, in the heart of the city in the 13th arrondissement. The GAIA project aims to design electronics for a
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
of Engineering (Col) Department Electrical & Computer Engineering Position Designation Faculty Employment Type Permanent - Full-time Months per year 9 Primary Purpose of Department The mission of the Electrical
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/editais/pt/AE2025-0598.pdf JOB ADVERTISEMENT Hiring of 1 (one) Assistant Researcher in the Area of Microelectronics System Design INESC TEC – Institute for Systems and Computer Engineering, Technology and
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. Current research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and
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engineering, computer science, or a closely related field. Preferred Qualifications: Experience with spiking neural network design and simulation at the circuit and/or system levels, with corresponding