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weights and criteria: - Criterion 1 - Absolute merit of curriculum vitae; - Criterion 2 - Specific knowledge related to the work plan; - Criterion 3 - Adequacy of the candidate´s profile to the work plan to
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) Knowledge of machine learning techniques, with an interest in exploring algorithms such as regression, decision trees, Random Forests, and neural networks. b) Basic programming experience in Python and
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) Knowledge of machine learning techniques, with an interest in exploring algorithms such as regression, decision trees, Random Forests, and neural networks. b) Basic programming experience in Python and
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within the scope of the atmospheric pollution and odor management, and with good oral and written knowledge of the Portuguese and English languages. (View Courses at: Courses - University of Aveiro (ua.pt
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scores 5 points); c) Basic knowledge of data analysis, statistics, and computer applications (0 to 3 points); 9.4. The candidates who have scored 14 points or less will be excluded from the AC stage. 9.5
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grant awarded under the terms of the EBI[2] ; 3. Preferred requirements: Approval at all the first year courses; Knowledge of differential equations, solving them and doing qualitative analysis; Approval
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to knowledge of the TRNSYS software and programming in Fortran or C++. Work Plan: The candidate is expected to carry out scientific and technological research within the scope of Activity 6 — 'Energetic and
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- Knowledge and profile appropriate to the functions to be developed - Criterion 3 – Ability to express oneself and verbal fluency VII.III- The evaluation of the criteria and the final classification will be