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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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work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the interface between Network Science and Machine Learning. The goal is to merge the best of the two worlds to produce a new generation of
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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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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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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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. We seek a computer scientist, biomedical engineer, computer engineer, or related field with advanced programming skills (particularly Python) and experience in Deep Learning frameworks (TensorFlow
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of hyperactivity. UA Institute for Computer Research” and “Smart machine learning for business modelling and analysis. Department of Software and Computing Systems.” Reference: I-PI 37-24 Funding agency: Valencia
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24 May 2024 Job Information Organisation/Company Universitat Oberta de Catalunya Department Research Institute IN3 Research Field Engineering » Computer engineering Engineering » Communication
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plus Experience in the development and/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machine learning methods, in particular for data