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algorithms. The aim is to develop a high-performance intelligent motor control system that enables greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements
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greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements of next-generation lightweight electric vehicles. The work will focus mainly on the development
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updates that may occur if applicable. The fellow may also be reimbursed for the amount corresponding to the Voluntary Social Security, in case of adherence. 10. Selection method: the selection methods to be
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of higher education awarded by foreign higher education institutions) (available at https://www.ua.pt/en/sgrh/bolseiros ). 7. Place of work: the work will take place at Department of Electronics
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. The fellow may also be reimbursed for the cost of Voluntary Social Security, if they choose to join this scheme. 10. Selection Methods: The selection method will be Curriculum Evaluation, with the possibility
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Security, in case of adherence. 10. Selection method: the selection methods to be used include Curricular Evaluation, with the option Interview in case the Jury considers that do not have the conditions of
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applicable. The payment will be made by bank transfer. The fellow may also be reimbursed for the amount corresponding to the Voluntary Social Security, in case of adherence. 10. Selection method: the selection
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No. 66/2018, of August 16th (Legal regime of recognition of academic degrees and diplomas of higher education awarded by foreign higher education institutions) (available at https://www.ua.pt/en/sgrh
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26th; Decree-Law No. 66/2018, of August 16th (Legal regime of recognition of academic degrees and diplomas of higher education awarded by foreign higher education institutions) (available at https
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the impact of the extraction process on the bioactivity of the obtained extracts. After optimizing the extraction process, the microbiological safety of the extracts will be assessed, and their application