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experience in Machine Learning, Deep Learning and Data Analysis; - The candidate's scientific curriculum and ability to publish scientific papers will be valued; - Suitability of the candidate's training and
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as follows: A. Academic curriculum assessment (40%) B. Consolidated knowledge of Computer Science, Data Analysis and Machine Learning (60%) Composition of the Selection Jury: Chair – Pedro José de Melo
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self-care of women with gestational diabetes”, with the reference 2022.09373.PTDC financed by national funds through FCT/MCTES, under the following conditions: Scientific Area: Machine Learning
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of the “Aviso para Apresentação de Candidaturas nº 11/SI/2021", under the following conditions: Scientific area: Physics Specific Scientific Area: Data analysis and machine learning Recipient category: The open