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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade
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Job Purpose To make a leading contribution to the Longitudinal Evaluation of Agentic Software Engineering at Scale project, working within the Software Engineering Laboratory in the School
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Manufacturing and Materials. https://engineering.uci.edu/ The Department of Materials Science and Engineering (MSE) is one of six academic departments in the Samueli School of Engineering at UCI. MSE is an
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software engines into a unified DAT toolchain, ensuring compliance with industrial EDA standards. Job requirements MSc or PhD in Electrical Engineering, Computer Engineering, or a closely related field
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, and embeddings—are especially encouraged to apply. The ANL ATLAS group maintains strong involvement across the experiment, including detector operations, TDAQ upgrades, Software and Computing, ML
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., interest in designing and preparing one of the PhD papers for journal submission as a Registered Report, see https://www.nature.com/articles/s41562-021-01193-7) • Communication and teamwork skills
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the maximum limits defined by legislation; supervision/co-supervision of PhD and MSc, and training actions in higher education institutions in the indicated recruitment area. A2) Criteria for Knowledge Transfer
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/experiments gained during PhD such as but not limited to basic EEG, evoked-response, and cardiovascular monitoring signal acquisition and data processing with laboratory staff working on the tsDCS project
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 23 days ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and