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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 3 months ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will
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numerical models and simulate the reactor's operation to optimize its design and performance. Collaborate in the preparation of the detailed engineering design for the pilot reactor and auxiliary systems (BOP
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analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale facilities
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of the University of Aveiro. 5. Work Plan The work aims to study, parameterize, and evaluate the implementation of a Customer Relationship Management (CRM) system to optimize communication and relationships with
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., reinforcement learning, adaptive planning, demand forecasting) to optimize the following aspects: dynamic routing and traffic management; resource allocation (e.g., vehicles, charging stations); response time to
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
of the impact of the different demand assumptions on the choice of optimal technology (grid extension, microgrid, stand-alone), with implications on costs (CAPEX/OPEX), grid extension, number of users served, etc
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, according to optimized procedures: 1. Sample collection using gelatin and/or cellulose membranes, with the use of Legacy pumps (SKC). 2. Sample preparation. 3. Analysis of the concentration of agents such as
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-Law No. 60/2018, of August 3, all of which the formalities must be fulfilled there until the contracting act. Activity Outline: Development and optimization of experimental trials aimed at evaluating
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, optimization, and calibration of sensors for use at the agricultural farm level. Collaborate in the acquisition, processing, and analysis of Big Data. Assist researchers in the development and testing
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project activities include formulating and fabricating functional sponges, optimizing the filtration process using modelling, conducting system characterisation and preparing research papers for publication