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of these activities is for the scholarship holder to develop new knowledge and skills in Artificial Intelligence, with an emphasis on the development of methodologies and techniques in Evolutionary Computation and
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to be achieved: Development of algorithms for analyzing facial expressions in static and video images. Analysis and evaluation of identity bias in facial expression recognition. V - Initial grant duration
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MANET and performing adaptive data sampling in aquatic use cases within the REMORA project. 2. Development of a decentralized, self-organizing data aggregation method for swarm state estimation. 3. Design
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-FCT, they are developed in association or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates: Candidates enrolled in non-degree-granting
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of Article 4 of Decree-Law No. 74/2006, in its current wording, provided that, under subparagraph e) of Article 3 of RBI-FCT, they are developed in association or cooperation between the higher education
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and/or optimisation; programming in C/C++, CUDA, etc., and software development and integration will also be valued. I.II - The non-degree-granting course must be related to the type of activity covered