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Field
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a non-academic degree course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, requirement to be duly proven
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learning and computer vision processes to the workers expertise. In this context, the objective of this project is to develop and evaluate AR applications to be used in the context of a natural cork
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of Science and Technology under the project CAIOC, for the development of R&D activities to be carried out by PhD’s students or holders of a Master’s degree enrolled in a course that is non-degree granting
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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topic of great relevance for the development of structural materials in fission and fusion nuclear reactors. Prolonged exposure of these metals to intense neutron radiation can lead to the formation
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the contract. or - Holder of an academic degree enrolled in a non-academic degree course integrated in the educational project of a higher education institution, developed in association or cooperation with one
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Empresarial). Fellowship will aim for the implementation and development of the following activities: 1) Development, tests, and trials in a controlled environment of an AGV and COBOTs; 2) Development
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is developing a master's dissertation, the work plan of said dissertation must be aligned with the work plan of the project. Failure to meet any of the criteria will lead to exclusion. Additional
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the award of a Research Grant for a Master's degree holder enrolled in a course that does not award an academic degree, for the development of research activities within the scope of the project BLS-BIOMASS
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, aiming at the consolidation of their scientific training through the development of research work leading to the obtaining of the respective academic degree, whether or not integrated in R&D projects