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related areas; b) Experience in the processing of innovative materials for the integration of biomimetic microenvironments, namely scaffolds based on hydrogels or biocompatible polymers, functionalized with
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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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and Machine Learning/Deep Learning Applications for Low Amplitude Transient Signal extraction: this project explores the use of AI, ML/DL techniques to explores several sources of signals with
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, according to the table of values of the Research scholarship of the University of Minho, updated annually, as decided by the Management Board. Payment is made on the 23rd of each month, through bank transfer
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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, image processing, or optical instrumentation. Fluency in English, both in scientific communication and in the writing of reports and research articles. Workplan and objectives to be achieved
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of academic qualifications completed by the application deadline, including those resulting from academic degree recognition processes. Preferential factors: Experience in antifungal assays, including
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experience in research and development of nanocarriers inspired by biological processes, and techniques for characterizing nanoparticles b) preferential factors: previous experience as a research fellow on