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the development of deep learning models based on graphs and images (EXP) – 0 to 20 values Specific competencies for the proposed work plan (CEPTP): With a maximum weighting of 30%. Demonstrated practical knowledge
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stability, enabling rigorous theory - experiment band assignment. V - Initial grant duration: 12 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I
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-standard EDA tools (e.g., Cadence, Synopsys, Mentor); Deep understanding of analog circuit theory, signal processing, and noise/power/performance trade-offs; Proven publication record in peer-reviewed
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initiatives; Disseminate research results in publications and conferences/workshops, as well as contributing to reports and project activities; Collaborate with the theory group of the University of Lille
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the subarea of Civil Legal Sciences, includes: General Theory of Private Law; Law of Obligations; Civil Liability; Contract Law and Theory; Property Rights; Law of Persons; Consumer Law; Technological
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. Preference factors: - Proficiency in English (written and spoken). - Relevant academic or practical knowledge in control theory and power electronics. - Knowledge of computational simulation tools (for example
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the results in light of the literature and social practice theory Contribute to the preparation of the final scientific article or report Legislation and regulations: Law Nº. 40/2004, of 18th August, in its
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. Experience in video editing and multimedia content creation. Knowledge of design trends and visual identity. Knowledge of typography, composition, colour theory, and branding. Knowledge of UI/UX
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digital field. Experience in video editing and multimedia content creation. Knowledge of design trends and visual identity. Knowledge of typography, composition, colour theory, and branding. Knowledge of UI
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
must be able to use a combination of numerical techniques and analytic perturbation theory to model more accurately the ringdown phase of black hole mergers, determining the non-linear contributions