106 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Universidade de Coimbra
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the output of a machine learning model, capable of assessing the reliability of a given input/output. 2. State of the art regarding non-invasive blood pressure estimation, focusing on the use
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, in the scientific area of Biomedical Engineering, Computer Engineering, Physical Engineering, Electrical Engineering; Clinical Neurosciences, Neuroengineering, enrolled in a doctoral degree OR Master’s
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hired, and the candidate(s) are exempt from paying the fee until the final ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3
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(Governmental Public Employment Portal), as well as in both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal, at https://www.euraxess.pt/ . Pursuant to paragraph h
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Programs, if applicable. It is expressly mandatory to use the FCT logo available at http://www.fct.pt/logotipos/ and, when applicable, the logos of the European Union and the Operational Programme
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, and eye tracker data. Work Plan: - Multimodal feature extraction from EEG, HRV, gaze dynamics, and pupil size data; - Signal fusion and model training using interpretable machine learning models (e.g
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Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
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qualifications. VII.VI - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Isabel da Silva Henriques
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for the piloting, demonstration and scale-up of innovative seaweed/algae-based solutions and ecosystem building. Where to apply Website https://apply.uc.pt/ Requirements Research FieldBiological sciences
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with machine learning. Evaluation of the final solution. V - Initial grant duration: 5 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I