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at scientific meetings VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1 - Knowledge and profile appropriate
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assessed according to the following weights and criteria: - Criterion 1 - Absolute merit of the Curriculum Vitae (60%) - Criterion 2 – Specific knowledge related to the work plan (40%) VII.II- The evaluation
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- Criterion 2 – Specific knowledge related to the work plan VII.II- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest
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. - Criterion 2: Knowledge in the scientific areas of the project: Academic or applied knowledge in Software Engineering, Intelligent Systems/Machine Learning, and Interactive Technologies. - Criterion 3
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;Knowledge in the collection, processing, and analysis of data obtained from physical activity and exercise monitoring technologies (e.g., wearables, sensors, or equivalent systems);Knowledge of exercise
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related with the aim of this position. The candidate(s) should have knowledge in basic laboratory techniques, including cell culture, molecular biology methods (such as RT-qPCR and western blot
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– Absolute merit of curriculum vitae; - Criterion 2 – Specific knowledge related to the work plan; - Criterion 3 – Knowledge of foreign languages, particularly English. VII.II- I – In the evaluation
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, enrolled in a doctoral degree. OR Biomedical Sciences, enrolled in a non-degree-granting course. Interest in the characterization of biomaterials znd knowledge in the handling and preparation of hydrogels
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; - Criterion 2 – Academic knowledge in the fields of environmental and building acoustics, and laboratory equipment operation; - Criterion 3 – Fluency in English. VII.II- I – In the evaluation of the interview
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interest - Criterion 2 – Knowledge and profile appropriate to the functions to be developed VII.III- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with