37 machine-learning "https:" "https:" "https:" "https:" "https:" Fellowship positions in Portugal
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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compression, event-based or neuromorphic vision, signal processing, machine learning or deep learning for visual data. - Motivation for research and scientific dissemination. - Good communication skills in
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: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 40%; VII.II- I – In the evaluation of the interview, candidates' performance
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%; - Criterion 2: Scientific dissemination actions – 40%; - Criterion 3: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 20%; VII.II
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“Enhancing Machine Learning Approaches for Spatially Dependent Data in Fisheries and Environmental Research” (CMAT, University of Minho), reference 2024.15617.PEX, financed by national funds through
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to express their opinion, in a preliminary hearing. Where to apply Website https://www.ipn.pt/bolsas Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent
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to translational R&D project coordination at the interface between biotech and academia. Visit the link to access full mandatory requirements: https://drive.google.com/file/d/1XDXQtA4qDGWvBw1YR5lQt2APng3oCE7y/view
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27 Feb 2026 Job Information Organisation/Company University of Minho Department Algoritmi Center Research Field Engineering » Electronic engineering Engineering » Computer engineering Researcher
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reference. The student will focus primarily on the photonic integration of machine learning methods, contributing equally to the development of ML algorithms in this context. Their work will include