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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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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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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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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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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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%) and Interview (50%). Selection criteria: Curricular Evaluation (50%): - Graduation average (40%) - Academic achievement in subjects in the areas of Programming, Artificial Intelligence, Computational
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degree in Computational / Theoretical Neuroscience, Computer Science or Physics (specializing in Machine Learning and Artificial Intelligence or Biophysics) or other strongly analytical fields. Documented