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donations. Support us through the Combined Federal Campaign, CFC code 11763.
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approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis, and improve the speed and quality of fixes. Application areas include developer tooling
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this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record Experience of conducting research with
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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Contact State/Province Lisboa City Oeiras Website http://www.itqb.unl.pt/ Street Av. da República Postal Code 2780-156 E-Mail itqb.projects@itqb.unl.pt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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career goals, and will involve collaboration with at least two CODE members or partners. More information about CODE can be found at: https://www.fau.edu/engineering/research/omics-technologies-data
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https://web.uniroma2.it/it/contenuto/20262590 Street Via Cracovia, 50 Postal Code 00133 E-Mail concorsi@uniroma2.it Phone 0672592620 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete