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/Qualifications Recipients profile/category: Candidates must have a master’s degree in Bioengineering, Biotechnology or related areas. Proven experience in hybrid modeling Artificial Intelligence/Physical laws
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systems capable of generating content through advanced processes based on Artificial Intelligence. Taking advantage of established AI methodologies, the tools will venture into innovative approaches
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Doctoral Program in Computer Science or Artificial Intelligence. Documents proving this situation must be presented, at the latest, until the scholarship contracting phase, and may be replaced by a
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polytechnic higher education sector at the adjunct professor level, in the field of Informatics – Disciplinary Groups of Data Science and Artificial Intelligence, Software Engineering and Programming and
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experience in some of the following areas: Scientific Programming, Data Science, Artificial Intelligence, MachineLearning andDeep Learning. b) The candidate must have good fluency in English (written and
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2024 - Renewable, if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf subject to suitable performance within the period of the
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spectroscopy (EIS) technique and artificial intelligence algorithms; 5) Estimation of SOH of Li-Ion batteries based on electrochemical impedance data; 6) Study of the variation of Li-Ion battery parameters with
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of this Notice in the Diário da República[the Official Portuguese Government Gazette], for the recruitment of one work position for a Full Professor in the disciplinary area of Artificial Intelligence, at NOVA
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transfer to an account held by the grantee. Eligibility criteria Hold a PhD degree in Computer Sciences and Engineering or similar as well as research experience in robotics and artificial intelligence
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scientific categories: Journal Citation Reports (Clarivate): Computer Science: Artificial Intelligence; Computer Science - Interdisciplinary Applications; Computer Science - Theory and Methods; Information