177 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs in Portugal
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, of 28 of August, and also the provisions of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent and modular controller with machine learning
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of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent, modular battery with machine learning algorithms. The aim is to develop a high-performance
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Grant Regulations. Where to apply Website https://apply.uc.pt/IT137-25-569 Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering
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-throughput sequencing data; c) Knowledge of the Linux operating system and of computer programming languages, including Python. Workplan and objectives to be achieved: a) Management, archiving, and analysis
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9 and by Decree-Law nr. 123/2019, of August 28, available at: https://www.fct.pt/apoios/bolsas/estatutobolseiro.phtml.pt . Regulation of scientific research grants of the Foundation for Science and
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of a contract between the University of Minho and the scholarship recipient, in accordance with point 2.4 of the Rules for the Award and Management of Scholarships https://www.fct.pt/wpcontent/uploads
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the signing of a contract between the University of Minho and the scholarship recipient, in accordance with point 2.4 of the Rules for the Award and Management of Scholarships https://www.fct.pt/wpcontent
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to the table of values of the Research scholarship of the University of Minho (https://www.fct.pt/wp-content/uploads/2025/02/Tabela_valores_SMM_2025.pdf ), updated annually, as decided by the Management Board
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(Legal regime of recognition of academic degrees and diplomas of higher education awarded by foreign higher education institutions) (available at https://www.ua.pt/en/sgrh/bolseiros ). 7. Place of work
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Earth orbit at the University of Minho, reference 2023.16452.ICDT (https://doi.org/10.54499/2023.16452.ICDT ), funded under the 2023 Call for R&D Projects in All Scientific Domains by State Budget funds