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. The payment will be made by bank transfer. Selection procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate and the following factors will be weighted: a
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the contract. Activity Outline: Different magnetic Pickering emulsions will be formulated and prepared, based on iron oxide nanoparticles in powder form or magnetic Fe₃O₄ nanoparticles. The optimal choice will
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for the implementation of hydrogen-based solutions in ports (project case studies); develop an Action Plan for implementing hydrogen in ADPL; define case studies for each case study port (in Portugal); technical
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procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate, and the following factors will be assessed: a) Academic training (Master in Civil Engineering or Road
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evaluated based on the merit of the candidate and the following factors will be assessed: a) Academic training (bachelor in the area of Mining Engineering and Geo-Environment, Environmental Engineering or
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will be part of the project team of Agenda GreenAuto: Green Innovation for the Automotive Industry, no. C644867037-00000013, investment project no. 54, in the context of PPS10: Neural Network-based
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. Selection procedure: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate and will focus the following factors: a) Academic training (Master in Chemical Engineering
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: The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate and will focus the following factors: a) Academic training (Master in Mechanical Engineering 10 points; Others Masters
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on the profile and previous experience of the candidate in the project area. The payment will be made by bank transfer. Selection procedure: The curriculum of the candidates (60%) will be evaluated based
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-quality validation module based on optical detection and light-profile analysis. The candidate will define quality metrics, implement monitoring systems using cameras and sensors, and develop computer