17 machine-learning-postdoc-"https:" "Naturalis" Master 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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Grant Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Additional Information Work Location
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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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metrics for determining 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
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Computer Engineering, University of CoimbraCountryPortugalGeofield Contact City Coimbra Website https://www.uc.pt/administracao/dpa Street Rua Larga STATUS: EXPIRED
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minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Ana Clotilde Amaral Loureiro da Fonseca Effective Members: Jorge Fernando Jordão Coelho, Arménio Coimbra Serra
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internships that will be promoted within the scope of this project at the University of Coimbra and Infarmed. He/she will also acquire skills in preparing reports and other project deliverables. V - Initial
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, and published on https://apply.uc.pt/ . VII.VIII - Jury Composition: VII.IX - Selection reserve list: the reserve list consists of candidates approved in all selection methods who do not secure one
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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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provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Professora Luísa Maria Rocha Durães Effective Members