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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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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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of the research grant: The amount of the grant corresponds to 1359,64 €/month, according to the table of values of the Research scholarship of the University of Minho (https://www.fct.pt/wp-content/uploads/2026/03
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between the University of Minho and the scholarship recipient, in accordance with point 2.4 of the Rules for the Award and Management of Scholarships https://www.fct.pt/wpcontent/uploads/2022/03
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skills (proficiency in English, computer and laboratory skills), weighted at 20%. The final classification of the applicant’s merit with the achieved through the following formula: AM=(A1*0,4) +(A2*0,4
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are described in "Offer description". Please consult this section. Website for additional job details https://www.cmems.uminho.pt/available-positions/ https://www.cmems.uminho.pt/wp-content/uploads/2026/07/Edital
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University of Minho and the scholarship recipient, in accordance with point 2.4 of the Rules for the Award and Management of Scholarships https://www.fct.pt/wpcontent/uploads/2022/03