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Field
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methods: a) curriculum assessment (50%), and b) prior knowledge of concepts and technologies relevant to the execution of the project (50%) Selection process Composition of the Selection Jury: President
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procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate, and the following factors will be assessed: a) Academic training (Master in Civil Engineering 10 points
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in Computer Engineering with research experience in Explainable Artificial Intelligence (XAI). LanguagesENGLISHLevelExcellent Additional Information Benefits The scholarship provides €1,040.98 per
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physics or similar Demonstrated experience in microfluidic systems design, fabrication and operation Demonstrated experience in cleanroom micro and nanofabrication. The candidate should be dynamic and
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(e.g., DNA extraction, quantitative PCR, DNA sequence analysis) Preferred Factors: Will be considered preferred factors: Interest in pursuing a PhD. Previous experience in tabular data processing and
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5 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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; Laboratory support in data collection and processing within R&D projects; Participation in the preparation of technical and scientific dissemination materials regarding the main results of projects being
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: Applicants must be enrolled in a PhD programme or in non-degree courses integrated into the educational project of the University of Aveiro, holding a Master’s degree in Computer Engineering or related fields
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evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports costs with registration
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and operation code at the Funds Platform (Balcão dos Fundos) NORTE2030-FEDER-01198000, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following