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SOFTWARE ENGINEERING, COMPUTER ENGINEERING, APPLIED MATHEMATICS, CIVIL ENGINEERING, ENVIRONMENTAL ENGINEERING, OR RELATED FIELDS – STREAMWATER PROJECT Bearing in mind Regulation No. 437/2020 on Research
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 9 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not
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29 Sep 2025 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Architecture Researcher Profile First Stage Researcher (R1) Positions Master
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? No Offer Description Call open for applications for 1 research grant (Master’s Degree), enrolled in PhD or courses that do not confer academic degree., within the framework of project VIIAFOOD with
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techniques and relevant softwares; Excellent written and spoken communication skills in English and Portuguese; Strong interdisciplinary communication skills and good organizational abilities and work flow
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linearity, this work aims to carry out a set of simulation experiments of different amplifier architectures to determine the performance of those architectures. This work will begin with learning the basic
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/Qualifications Admission Requirements:To be enrolled at a master degree of Civil Engineering, Architecture, Engineering and Management, Engineering and Management of Innovation and Entrepreneurship, or be related
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of Associação Fraunhofer Portugal Research (hereinafter referred to as the “Regulation”). Place of work: Fraunhofer Portugal AWAM, Vila Real, Portugal, under the scientific supervision of PhD Ana Faria
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. Admission requirements: 1) Student enrolled in a PhD course in Chemical Engineering or in a non-degree course integrated in the educational project of an institution of higher education; 2) Master's degree in
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Research Studentships (for students of a Master or Integrated Master students) - (BL202/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago: Until now, we have been using neural networks with traditional architectures, namely the so-called Convolutional Neural Networks (CNNs). These networks are employed as the backbone of the Multiple