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identified in the contractualization process. Other benefits: Reimbursement of Voluntary Social Insurance, if the candidate chooses to receive it, corresponding to the 1st level of discounts (for research
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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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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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to the Bank Identification Number of the fellow identified in the contratualization process. Other benefits: Reimbursement of Voluntary Social Insurance, if the candidate chooses to receive it
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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