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- Instituto Politécnico de Bragança
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Field
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Computer Engineering, Electrical and Computer Engineering or related scientific fields. Selection process The selection method to be used is as follows: a) Curriculum assessment and suitability for the job
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- Hold a degree in Electrical and Computer Engineering, Mechanical Engineering or related scientific fields; - Be enrolled in a master's degree programme in Electrical and Computer Engineering, Computer
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, reference C644936001-00000045, funded by the Recovery and Resilience Plan and financed by the European Union – NextGenerationEU (2022-C05i0101-02), under the following conditions: Scientific area: Computer
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communications (oral presentations or poster sessions). g) Basic computer literacy from a user’s perspective. h) Strong verbal communication skills and fluency in English. i) Professional rigor and strong ability
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the payment method of the Fellow by wire transfer. Eligibility criteria Admission Requirements: Undergraduate or master’s students in Computer Engineering and Informatics, Electrical and Computer Engineering
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. Work Plan: State-of-the-art survey of Neuroevolution methods and Image Segmentation methods; State-of-the-art survey of Neuroevolution methods with application to computer vision problems; Implementation
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, reference C644936001-00000045, funded by the Recovery and Resilience Plan and financed by the European Union – NextGenerationEU (2022-C05i0101-02), under the following conditions: Scientific area: Computer
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1 Sep 2025 Job Information Organisation/Company Instituto Politécnico de Setúbal Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Other
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or more), which is optional (not compulsory) and the reimbursement corresponds to the 1st step of the contribution base. 9. Evaluation methods: 9.1. The selection methods are as follows: curricular
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models under the supervision of the scientific team. • Learning and applying model performance evaluation methods (e.g., precision, recall). • Assisting in the documentation and analysis of model results