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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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manipulation or processing; d) Experience in mechanical design. Workplan and objectives to be achieved: The work plan consists of developing a prototype to validate the aerogels/acoustophoresis approach
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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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legislation. This formality must be completed by the signing date of the contract. 4.1. General admission requirements are those defined in point 4. For the purpose of determining the appropriate profile
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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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of the applicable legislation. This formality must be completed by the signing date of the contract. 4.1. General admission requirements are those defined in point 4. For the purpose of determining the appropriate
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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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Field in Manufacturing Processes”, at the Center for Electromechanical Microsystems of the University of Minho (CMEMS-UMINHO), operation no. 25493, Operation code at the Funds Counter COMPETE2030-FEDER