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on Kerberos, LDAP e Debian servers. Develop knowledge about the communication tool “Mattermost” and develop extensions for it. Development of new methodologies to optimize system administration, as
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for Improved Prenatal Care’, which aims to develop an AIbased system for the evaluation of the foetal head in ultrasound images, with reference 2024.17965. PEX, financed by national funds through the FCT
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indicators and to develop a protocol for evaluating the success of river restoration. The work will be carried out at the Centre for Forest Studies of the Instituto Superior de Agronomia, under the primary
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Education awarded by Foreign Higher Education Institutions). Work place: The work will be developed in the Department of Biology, Faculty of Sciences of the University of Porto (FCUP), under the guidance
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of Recognition of academic degrees and diplomas of Higher Education awarded by Foreign Higher Education Institutions). Work place: The work will be developed in the Department of Biology, Faculty of Sciences
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: - Criterion 1 – Knowledge and profile appropriate to the functions to be developed – 50% - Criterion 2 – Motivation and interest – 25% - Criterion 3 – Ability to express oneself and verbal fluency – 25% VII.III
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FCT, I.P. in the country (https://www.fct.pt/financiamento/programas-de-financiamento/bolsas ). Added to this amount is voluntary social insurance corresponding to the first tier, if the candidate
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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the European Regional Development Fund (ERDF), under the Northern Regional Operational Programme (NORTE2030), of Portugal 2030. Scientific Areas: Electrical Engineering, Electronic Engineering, Biomedical
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Industry, with the reference ERA-MIN3/0002/2023 with e DOI 10.54499/ERA-MIN3/0002/2023 (https://doi.org/10.54499/ERAMIN3/0002/2023 ) funded by the Fundação para a Ciência e a Tecnologia, I.P., through