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transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
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of machine-learning models at catchment to regional scales. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available2Company/InstituteUniversitat Politècnica de
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Leonardo. The successful candidate will play a crucial role in developing and optimizing machine learning workflows for large-scale environmental data analysis, contributing to the creation of robust and
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model building, biomedical text mining, machine translation and unsupervised learning for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan governments with
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
of machine learning and AI algorithms and methods. Knowledge of species distribution models. Catalan and Spanish are valued LanguagesENGLISHLevelGood Research FieldOtherYears of Research Experience1 - 4
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Computer engineering, Data Science, Mathematics or equivalent, with focus on energy modelling and electricity markets. Proven experience (>2 years) in energy systems modelling, machine learning or artificial
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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
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. We will analyse systems based on deep reinforcement learning and transfer learning, as well as distributed architectures that use federated learning. This work package outlines the tasks required
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the following objective included in this R&D&i Project “Knowledge Generation” PID2022-136435NB-I00, funded by MICIN/AEI/10.13039/ 501100011033 and by “ERDF A way of making Europe”, EU: - “O8. Speeding up Machine
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analysis Good computer skills; familiarity with informatics tools and databases Nice to have Knowledge of human genomic or biomedical data Experience with helpdesk/ticketing systems Languages Excellent