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category: Students enrolled in a PhD programme or Masters students enrolled in a non-degree course integrated into the educational project of a higher education institution, developed in association
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Development Fund (FEDER), through the National Innovation Agency (ANI), the Framework Programme Portugal 2030 – Programa Inovação e Transição Digital | COMPETE 2030, medida eixo SIID – Internacionalização de I
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that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering
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metal dichalcogenides are promising platforms for next-generation quantum and electronic devices, where atomic defects play a crucial role in determining functionality. This project develops a machine
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research activities relevant to the project's research topic and work plan, will also be taken into consideration. Workplan and objectives to be achieved: This project aims to develop and apply Artificial
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achieved: a) Contribute to the development of relevant databases of human DNA and the pathogen Mycobacterium tuberculosis; b) Perform DNA extraction from ancient human remains for subsequent sequencing in a
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: The activities to be carried out by the fellow will focus primarily on the development of an optical system for microbiological applications and ocular safety: Critical literature review on adaptive optics
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into the educational project of a higher education institution, developed in association or cooperation with one or more R&D units. Identify the type(s) of scholarship to be awarded: a) Degree courses