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on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Experience in musical audio machine learning frameworks, advanced knowledge in music theory, and
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developing synthetic datasets using simulation environments. Familiarity with the theory and implementation of diffusion models and GANNs applied to the same context. Minimum requirements: • Knowledge
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dated 29 December by the Labour Code and by other legislation applicable to individual employment contracts, as well as the internal rules of INESC TEC, considering the specific conditions that
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code; ● Contribute to a large-scale European project targeting high-performance computing; ● Participation in the writing of a co-authored scientific article to disseminate the results obtained.; 3
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for a Fortran AST for source-to-source, to support new code constructs; ● Improve the interface with the flag-based dumper, if necessary; ● Creation of tests to validate the changes
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Studio or Flutter, databases (MySQL, Postgres, SQLite), Python, C#, Java, Javascript, TypeScript, PHP, Node.js, and code version control systems (GitHub, GitLab). Preference factors: Preferred Profile
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compatibility, maintenance, and improvement of the code. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Analyze, adapt, and migrate existing ROS1 packages to ROS2; - Support lab members in
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compatibility, maintenance, and improvement of the code. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Analyze, adapt, and migrate existing ROS1 packages to ROS2 - Support lab members in integrating
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da FEUP - Rua Dr. Roberto Frias Postal Code 4200-465 Porto STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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-465StreetCampus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias Contact City Porto Website http://www.inesctec.pt Street Campus da FEUP - Rua Dr. Roberto Frias Postal Code 4200-465 Porto