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Department of Computer Systems is internationally highly appreciated scientific and learning centre, which scientific competency is focused on creating of technical systems based on computer systems
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
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Holidays (including an extended December holiday) Paid Parental Leave Professional Development Opportunities Click here to learn more about why you should work at USC. Quicklink for Posting https
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Engineering (ECE) Department and Eversource Energy Center (EEC) at the University of Connecticut (UConn) solicit applications for a tenure-track faculty position at the Associate or Full Professor level. Strong
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field. Must be a current Computer and Information Science graduate student at UM-Dearborn Self-motivation and willingness to learn new applications and the ability to work independently Good communication
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Career Path Maker: https://www.purdue.edu/hr/careerpathmaker/ Who We Are Purdue is a community built on collaboration, with global perspectives, Boilermaker pride and endless opportunity to live, learn and
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, drive belts, and sheaves without direct supervision. Shall be able to repair or fabricate parts using standard machine shop tools. Shall be able to troubleshoot, service, and perform preventive
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, machine learning, and optimization, broadly defined. Applicants working at the intersection of these areas, especially those applying theoretical and computational methods to problems in management science
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
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supervision signals (e.g., labels in a downstream task or symbolic constraints). You will perform machine learning research, developing a framework for learning interpretable and robust concepts with