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algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some cases, take the lead in writing publications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
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Hawaiian or Pacific Islander. For more information about the University, visit: http://www.csun.edu About the College: The Andrew J. Anagnost College of Engineering and Computer Science seeks to be a
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Posting Summary Logo Posting Number STA00967PO25 Job Family Operational Analysis Job Function Business Intelligence USC Market Title IT Technical Trainer Link to USC Market Title https
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at https://www.euraxess.pt at and on the website of the Universidade do Algarve, at https://www.ualg.pt/procedimentos-concursais . Applicable legislation: Decree-Law 57/2016 of 29 August, amended by Law 57
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public trust in media. Platform Design, Policies, and Civic Engagement: Investigating how social media platforms’ algorithms, moderation policies, and content recommendation systems shape civic
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for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare
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that also overlap with security (e.g., algorithms in the field, cryptography) are encouraged to apply. As per CSRankings.org, WSU is ranked in the Top 20 in design automation, Top 50 in cryptography
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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data