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][JB3.1]. I.II - The non-degree-granting course must be related to the type of activity covered by the grant. Non-degree-granting courses are defined as those referred to in subparagraph e) of paragraph 3
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software, such as AutoCAD and SolidWorks, and solid programming skills using Python, SQL, and Power BI; 5 points; Experience with other software – 2 points. Candidates will be ranked in a 1 to 20 scale
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-granting course. I.II - The non-degree-granting course must be related to the type of activity covered by the grant. Non-degree-granting courses are defined as those referred to in subparagraph e) of
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Forests and neural networks. b) Basic programming experience in Python and familiarity with libraries such as pandas, numpy or scikit-learn. c) Experience in processing and analysing data from electronic
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-granting course. I.II - The non-degree-granting course must be related to the type of activity covered by the grant. Non-degree-granting courses are defined as those referred to in subparagraph e) of
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related to the type of activity covered by the grant. Non-degree-granting courses are defined as those referred to in subparagraph e) of paragraph 3 of Article 4 of Decree-Law No. 74/2006, in its current
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-granting course[JB2] [JB3] . I.II - The non-degree-granting course must be related to the type of activity covered by the grant. Non-degree-granting courses are defined as those referred to in
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-COAT – MULTIscale Coating Optimization with Artificial Intelligence Technologies project, in accordance with the tasks defined in the project proposal for Profile 7. The work will focus on the study and
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of the programs; Comparison of the statistical analysis of the evaluation performed by the treatment of the results by the software in use in the PNAEQ (AEQ genio) and the new solution; Analysis of the best
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admission requirements are subject to the academic record evaluation, carried out according to the criteria and weights defined in VII.I. VII.IV - Candidates who score below 50 in any selection method will be