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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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the scholarship contract. Work plan: This exploratory project aims to identify and characterise Tfh cells and germinal centre B cells in cattle using state-of-the-art methodologies, including single-cell RNA-seq
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EXPERIMENTAL, NUMERICAL AND MACHINE LEARNING”, funded by the “Programme, Innovation and Digital Transition (Compete 2030), European Regional Development Fund FEDER and national funds, Portugal 2030, Foundation
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application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
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reinforcement learning. Work Plan The research plan aims to develop a robotic system capable of autonomously searching for objects in partially known indoor environments. The work will explore methods that allow
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C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 20-Feb to 06-Mar-2026 WHO WE
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, Current study Study area: Architecture, building, planning and design Need help understanding the process? Visit our scholarship guide Application How to apply You must submit an application and provide
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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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on scientific projects. Posts on machine learning topics in unbalanced domains. 4. Work Plan: 4.1. The purpose of this contract is to perform the following tasks: Definition of the methodology for Natural Capital
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EdgeOnVespa (NORTE2030-FEDER-02972100), co-funded by the European Regional Development Fund (ERDF) through the financial support of the Portuguese Innovation and Digital Transition Program (PITD 2030