13 postdoc-in-thermal-network-of-the-physical-building Undergraduate positions at FEUP
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. Analysis and representation of the data obtained from the simulations: power, torque, combustion and thermal efficiency, as well as gaseous emissions (EiNOx, CO, CO₂, UHC, VOC) as a function of engine speed
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classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks, Hierarchical Decision and Control Systems with main
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13 (5 points); Bachelor Degree classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks
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in multimodal transportation networks; Integration of the models into a Decision Support System; Application to case studies based on real data. Legislation and regulations: Law Nº. 40/2004, of 18th
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the framework of the M-ERA-NET3 network “ERA-NET Cofund in raw materials, under the following conditions: Scientific Area: Mining Engineering Admission requirements: Candidates who cumulatively meet the
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, Applied Mathematics, Physics or related areas Admission requirements: Candidates who cumulatively meet the following two requirements may apply for this grant: Requirement 1: - Be a student enrolled in a
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Oliveira Restivo Advertisement of final decision: The results of the evaluation will be released to the candidates by email to the email address indicated in the application process. Deadline
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applications for a Research Initiation Grant within the framework of project “RENURE – Integrated and circular process for the recovery of nutrients and removal of micropollutants from waste water”, with nr
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Grant within the framework of project “RENURE – Integrated and circular process for the recovery of nutrients and removal of micropollutants from waste water”, with nr. 21336 and operation code
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applications for a Research Initiation Grant within the framework of the project “RENURE – Integrated and circular process for the recovery of nutrients and removal of micropollutants from waste water”, with nr