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will actively participate in the development of smart mobility studies within the specific context of urban last-mile logistics operations. They will be involved in modelling and simulation activities
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requirements may apply for this grant: This postdoctoral research fellowship can only be awarded if all the following conditions are cumulatively met: a) The PhD degree in Computer Science or a related field
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contributing to Work Package 5 – 'Approaches for seismic design, risk and loss assessment'. The selected researcher will actively collaborate in the numerical modelling of steel storage racking systems, as
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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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for the conductive state under different conditions of use will be targeted. WP4 – Functional optimization: Development of the functional optimization of the DTIS, using predictive modelling based on climate forecast
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. Activity Outline: The candidate should investigate a radiation-based thermal treatment approach for disinfecting end-of-life substrates used in soilless culture systems. The main objective is to demonstrate
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substances (PFAS) present in landfill leachates, contributing to improved efficiency of conventional treatment systems based on reverse osmosis. The activities to be carried out under the project include
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. The payment will be made by bank transfer. Selection procedure: The curriculum of the candidates will be evaluated based on the merit of the candidate: Academic training in: physics engineering - 5 points
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real-time optimization algorithm for a simulated moving bed system to correct possible mismatches between the mathematical model and the real process. The approach to be developed is based on modifier
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requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of Computer Engineering, to be duly proven