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Field
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of teaching and successful reappointment), and regular, generously funded, post-tenure sabbaticals. Support for teaching, grant submission, computing software, and community partnerships in courses is available
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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
17 Aug 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with
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and porting of scalable science applications and algorithms for OLCF and other leadership computers. Debugging and tuning applications for high performance. Developing performance models of existing
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analyzes data using statistical or mathematical software. Designs statistical tools and algorithms and utilizes descriptive and quantitative statistical techniques. Provides statistical support, creates
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society UiB shall be among Europe's leading
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allocated tasks, and communicates progress regularly. 5% Analyzes existing highly complex open source software or works to formulate logic and devises algorithms for new modular and composable software
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) Established Researcher (R3) Application Deadline 31 Jul 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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quantum matter and quantum computation. Our research includes (1) AI for Quantum: developing advanced AI algorithms grounded in physical principles and machine learning theory to tackle key challenges in