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multiple hospitals to ease the ingestion by the predictive models. Expertise in machine learning (ML) and deep learning (DL) is also valuable. The datasets may consist of 2D, 3D and 4D images from X-ray, US
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plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods. • Simulations and modification of data, advanced data analysis • Carrying out
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regulatory matters is a great advantage for the position. Important tasks of the work plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods
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Explainable Machine Learning Research line / Scientific-technical services: Scalable and Explainable Machine Learning TASKS TO BE PERFORMED The purpose of this contract is the collaboration in one of the active
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-fabrication of sensors based on electroacoustic resonators. - Sensor characterization. Database development. - Development and application of algorithms based on machine learning for sensor reading
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C++, Pytorch Al menos 3 años de experiencia en Visión por Computador y en Machine Learning/At least 3 years of experience in Computer Vision and in Machine Learning Specific Requirements Al menos 3
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of machine learning and bioinformatics, implementing advanced techniques such as encoder-decoder language models, graph neural networks, and contrastive learning to annotate protein sequences with precision
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STAFF Principal Investigators : Esteban José Palomo Ferrer and Ezequiel López Rubio Place of Conduct: Department of Languages and Computer Sciences – ETSI Informática (UMA) Research lines: IBIMA- F
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to extend the contract as part of other grants within the lab. The requirements for the position are: PhD degree in an area pertinent to the project, such as applied mathematics, statistics, machine learning
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, using Artificial Intelligence techniques (including machine learning, generative models, transformers, etc.); as well as its integration with web systems. Use of agile cycles of design, development and