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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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knowledge of adaptive optics systems, including wavefront sensors, deformable mirrors, and real-time wavefront correction algorithms. Familiarity with optical systems, particularly in high-resolution contexts
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
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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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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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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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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