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Position Details Position Information Recruitment/Posting Title Summer 2026 Non-Credit Instructor, Accelerate Program Department Lifelong Learning Salary Details $12,496.50 Offer Information
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hardware description languages. - Integration of proprietary and third-party IPs, as well as hardware-software architecture design. - Implementation of accelerators, digital signal processing, and real-time
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering - The Accelerated Materials Lab for Sustainability (AMLS), to lead the development of perovskite photovoltaic devices as part of a
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Assistant (PhD student
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). It is more particularly about understanding the mechanisms at the origin of the resuspension of microparticles from free surfaces, when they are subjected to aerodynamic transient events (acceleration
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record of accelerating more than 100 innovative ventures. The Centre integrates rigorous Business Transformation research with venture-building practice and disruptive leader education, bringing together
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variation harnessed in plant breeding. PhD Research Topic: Natural Meiotic Recombination Variation to Accelerate Barley Breeding Objectives: Exploit natural genetic variation in meiotic recombination
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | about 1 month ago
staff position within a Research Infrastructure? No Offer Description This Incarico di Ricerca position, aligned with the ARCHYTAS project, focuses on the design and evaluation of matrix-acceleration
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, potentially accelerating design. We hypothesize that combining GM with AI can democratize software development, enabling broader participation beyond traditional programmers. Integrating this approach with
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methods, complemented by simulations of beta-decay chains relevant to post-fission energy release. Neural networks and other machine learning techniques will accelerate the discovery of radiation-resistant