60 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" scholarships at Universidade de Coimbra in Portugal
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while protecting data privacy. Unlike traditional centralized machine learning, where data must be collected and stored in a central server, FL allows multiple parties to collaboratively build a global
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on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
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assessed according to the following weights and criteria: - Criterion 1: Absolute merit of curriculum vitae - Criterion 2: Academic performance in the areas of Machine Learning, Data and Information Fusion
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' performance will be assessed according to the following weights and criteria: - Criterion 1 - Knowledge in the areas of Bioinformatics, Artificial Intelligence and Machine Learning - Criterion 2 – Motivation
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engineering Engineering » Mechanical engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 8 Apr 2026 - 23:59 (Europe/Lisbon) Country
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engineering Engineering » Other Engineering » Mechanical engineering Engineering » Chemical engineering Engineering » Industrial engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor
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available at http://www.fct.pt/logotipos/ and, when applicable, the logos of the European Union and the Operational Program, following the graphic standards available on the websites of the respective
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- Work Plan / Goals to be achieved: In the first phase, samples will be produced using the WAAM process, which will subsequently be machined to obtain specimens with appropriate dimensions and geometries
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) Based on the score of their academic qualifications. VII.VIII -All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ IT137-26-145. VII.IX
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- The curriculum evaluation considers the candidates' academic and professional achievements based on the following weights and criteria: - Criterion 1 - Academic performance in subjects within the areas of Machine