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Field
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; Development of Fairness algorithms for online learning; Writing of an scientific article or extended abstract to be submitted to a conference or workshop. 4.2. When the academic degree or diploma is awarded
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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to or higher than 16 points. 4. Work Plan: 4.1. The purpose of this contract is to perform the following tasks: Literature review in artificial intelligence algorithms for Dataset Curation; Development
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integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing the contract
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to or higher than 16 points. 4. Work Plan: 4.1. The purpose of this contract is to perform the following tasks: Literature review in artificial intelligence algorithms for multi target contexts; Development
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development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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within the framework of project AEMWEtoGreenH2– Reshaping Green Hydrogen Production: Development of Anion Exchange Membrane Water Electrolysis, with number 16606 and operation code at the Funds Platform
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There is an open call for applications for a Research grant within the scope of the “Olive Grove to Fork 4.0” project (NORTE2030-FEDER-01182700), funded by the European Regional Development Fund (FEDER
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 1 day ago
. Financing Source: financed by the European Regional Development Fund – FEDER, through the Innovation and Digital Transition Program – PITD. 3. Admission Requirements: Master in the field of Electronic and