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doctoral degree, in the scientific area of Electrical and Computer Engineering [JB2.1][JB3.1]knowledge of generative neural networks, C++ and Python programming, able to use Docker container platform, Linux
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Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs), trained on a new dataset of biological images of Candida fungi, the solution aims to improve the speed, accessibility, and accuracy
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of indirect non-target effects of the biological control agent Trichilogaster acaciaelongifoliae Analyse potential indirect effects of the biological control agent using an ecological network approach, focusing
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magnetic materials, for example in sensors, or as quantum bits. In addition to experimental and computational tasks and collaboration with advisors in writing scientific articles directly related to
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The University of Coimbra opens a call for the assignment of a research grant, with one position(s), under the project LUMEN, title “Linked User-driven Multidisciplinary Exploration Network” . The call is governed
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in several tasks within the project’s work plan, including: - Development of deep learning models (e.g., convolutional neural networks and vision transformers); - Presentation of results at consortium
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of Things (IoT) technologies, communications networks (5G and 6G), infrastructures (Cloud and Edge Computing), Big Data platforms and analytical data processing, to a range of sectors in the industry and
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justified, recorded in minutes, and published on https://apply.uc.pt/.  ; VII.VII - Jury Composition: President: Magda Matos Santana Effective Members: Dina Maria da Silva Rodrigues Pereira; Sara Isabel
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of their academic qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Jorge Campos
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method applied; b) Based on the score of their academic qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt