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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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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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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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, 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
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Engineering. DEDICATION: Part-time 30 h/s, Monday to Friday from 9.00 a.m. to 2.00 p.m. GROSS ANNUAL REMUNERATION: The employee will receive an annual gross remuneration of 18.524,88 euros. TITTLE OF PROJECT
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the project: 20 points (up to 20%). Other merits, such as knowledge in Matlab, Python, and machine learning, etc.: 15 points (up to 15%). 2. Scientific and technical benefits of the candidate's incorporation
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%). Postdoctoral training and demonstrable experience in the activities to be carried out in the project: 20 points (up to 20%). Other merits, such as knowledge in Matlab, Python, and machine learning, etc.: 15