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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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: 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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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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Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and
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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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to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. 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 digital transformation. Its mission is to establish a student-centred, inclusive, digital, and green European open university, expanding access to higher education and lifelong learning for everyone
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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