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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldComputer science » Computer architectureEducation LevelUndergraduate Research
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: Ability to work in a team and maintain code cooperatively. Specific Requirements Knowledge: Efficiency and optimization algorithms for multivariable decision making. Statistics. Machine Learning
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the production of polymer latexes that involves a complex, heterogeneous polymerization system and leads to polymers with a diverse range of structures. This project looks to use machine learning to better target
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: Machine and Deep learning. In health and rehabilitation projects. Experience in functions similar to those described will be valued, specifically in the development of research activities, both in
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measurements. Professional Experience: In health and rehabilitation projects. Classification and models of Artificial Intelligence: Machine and Deep Learning. In recording and signal processing. Experience in
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the LAMP group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is for 2-3 years and linked to the project “Foundations for Adaptive and Generalizable Deep Learning” (EXPLORA
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the medium and long term. We are looking for a Machine Learning Research Engineer: The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D
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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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fields. Relevant Training or Courses (optional): Experience with R or similar programming tools, or machine learning algorithms. Geographic Information Systems (GIS). Basic and advanced statistics, time