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Field
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a related field. * 5 years
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Position Details Position Information Recruitment/Posting Title Open rank tenure track faculty position in the Department of Library and Information Science, in Information Policy Department SC&I
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or improvement. The intern will analyze the performance of AI models by comparing model predictions against established benchmarks. They will contribute insights on how to optimize algorithms and improve
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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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algorithms for dynamic structured data, with a particular focus on time sequences of graphs, graph signals, and time sequences on groups and manifolds. Special emphasis will be placed on non-parametric
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Schedule TBD by Program Director Remote/Telecommuting Hybrid (part-time working on site, part-time working off-site) Position Summary POSTING FOR UNMC EMPLOYEES ONLY This Research Data Specialist position
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Division/Team: Department of Computer Science Hours per week: Full Time Closing date (DD/MM/YYYY): 14/08/2025 Contract Duration: From 1st September 2025 for 18 months School/Directorate: School
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 10 days ago
Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 29 Aug 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number WG4 TL1 Is the Job related