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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | about 1 month ago
Selection process cv covering letter letter of recommendation (if applicable) transcripts and rankings of Master's years (or equivalent) Website for additional job details https://jobs.inria.fr/public/classic
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for ground-penetrating radar (GPR) and electromagnetic (EM) will be developed. These algorithms will enable high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel
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(if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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. Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and
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academic institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you We are looking for a candidate with
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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programme Reference Number AE2025-0539 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0539
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programme Reference Number AE2025-0534 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0534