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according to the following weights and criteria: - Criterion 1: Masters average - Criterion 2: Knowledge of foreign languages, particularly English - Criterion 3: Adequacy of the candidate’s profile
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merit of Curriculum Vitae (30%) - Criterion 2 – Masters average (20%) - Criterion 3 – Specific knowledge related to the work plan (20%) - Criterion 4 – Adequacy of the candidate’s profile to the work plan
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– Specific knowledge related to the work plan, namely in organic synthesis VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and
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to the following weights and criteria: - Criterion 1 – Motivation and interest; - Criterion 2 – Knowledge and profile appropriate to the functions to be developed. VII.III- The evaluation of the criteria and the
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of the academic record, the candidates' academic performance will be assessed according to the following weights and criteria: - Criterion 1 – Specific knowledge related to the work plan (15%) - Criterion 2
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data, systems integration, and data visualization – 4 points iii. Knowledge/skills in the fields of logistics, sustainability, big data, systems integration, and data visualization – 4 points iv. Full
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: Selection interview (30%) Ability to demonstrate the interest of previously acquired knowledge and the adequacy of skills for the work to be carried out (0 to 50 points); Motivation and availability to carry
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. Note: Candidates must be fluent and present good communication skills in Portuguese and English languages. Knowledge on Geographic Information System software is not mandatory, but will be valued. V
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issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research
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- Criterion 3 – Specific knowledge related to the work plan - Criterion 4 – Masters average VII.II- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with