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skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow, as well as familiarity with medical image analysis and computer vision. Experience in federated learning, AI
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Machine Learning A PhD position is available at the Computer Vision Center (CVC) under the supervision of Fernando Vilariño and Paula García . The successful candidate will be enrolled in
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree
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to develop and implement machine learning/deep learning tools for personalized medicine in cancer by exploiting electronic medical records and medical images in relation to cancer diagnosis and the
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research institute at the University of Girona focused on computer vision and robotics. It combines fundamental and applied research in areas such as underwater robotics, medical image analysis, and
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for experiments using reinforcement learning, Bayesian methods, image analysis and data analysis. Collaborate with interdisciplinary teams, including machine learning experts, device modelling specialist
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integrating machine learning (ML) and molecular dynamics (MD) tools with experimental feedback, the project strives to accelerate the design of efficient and sustainable nanocatalysts, contributing
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ACTIVITIES IN THE RESEARCH AREA OF DEVELOPMENT OF AN ADVANCED PLATFORM FOR THE DIAGNOSIS AND TREATMENT OF NASAL OBSTRUCTION USING 3D MORPHOMETRY, FLUID MECHANICS AND MACHINE LEARNING AUTOMATIC. (C-059/25
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, computer science, computer engineering or related subject. We will positively consider previous background in computer vision, deep learning and/or color image processing, as well as previous experience in research