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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation, evidence-based policymaking, science-policy
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31 Jul 2026 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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y evaluación de modelos de visión por computador. Tasks related to programming and evaluation of computer vision models. Where to apply E-mail [email protected] Requirements Research FieldComputer
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para redactar documentación técnica y académica formal. --- - Artificial Intelligence & Machine Learning: Strong knowledge of AI, Machine Learning, and Deep Learning models; background in Federated
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/few-shot learning techniques on latent representations. Support for the development of models for continuous health status assessment and estimation of remaining lifespan in physical systems, with
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. The QML-CVC team (https://qml.cvc.uab.es/ ) is part of the Computer Vision Center at the Universitat Autònoma de Barcelona; the CVC is a center with over 150 persons working machine learning and computer
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). The applicant’s experience must be related to the tasks to be conducted, to the job description herein or to: · Training of multimodal models based on deep learning and GPU computing. · Evaluation and deployment
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Manufacturing (SMMG). These highly integrated and interlaced disciplines not only emphasize theoretical framework and experimental validation, but also attend to computational modeling and simulation. The Hub is
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Mission: Support research to improve the management of renewable energies. Functions to be developed: Develop machine learning algorithms. Implement and validate computational models. Plan networks with