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25 Sep 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Electronic engineering Engineering » Computer engineering
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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: comparative omics, genetic diversity analysis, mathematical modelling, machine learning, and the use of model organisms. Develop transferable skills such as scientific communication, project management
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, or related fields. PhD is welcome (plus), but not required. Essential Knowledge and Professional Experience Expertise in machine learning / deep learning applied to biomedical or healthcare data. Strong
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innovative research in three major categories: AI Fundamentals: machine learning, deep learning, data science; AI Core Applications: computer vision, natural language processing, speech processing, robot
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of the Rector of the Universitat Politècnica de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i line: Machine learning
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learning and the impact of technology in any discipline or activity. You will work in a dynamic and flexible environment where you can develop professionally by working towards objectives. Responsibilities
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constructing machine learning models for molecular properties is required. The candidate should have also some programming experience with Python. Where to apply Website https://apps.udg.edu/Registre/?formulari