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for spectral and spatial data pre-processing, as well as on machine learning algorithms, chemical map reconstruction, and algorithmic correction of galvanometric scanning.; Training will cover Python programming
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Recipients profile/category Mandatory requirements: Bachelor’s degree in computer engineering. Enrolment in a master programme in Computer Engineering. The documents proving the enrolment in a master programme
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Acquisition Systems, Automation, Data Science and Machine Learning applied to Advanced Data Acquisition Systems, as well as computational learning techniques, with application in the context of manufacturing
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16 Jan 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Other Researcher Profile First Stage
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for this grant: Requirement 1: - Be a student enrolled in a doctoral program in the area of Materials science, Machine Learning computational science, Coating and surface engineering a requirement to be duly
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local and regional competitiveness. General scientific area: Business Sciences, Computer Sciences, or related fields. Where to apply Website https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros
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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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9 Jan 2026 Job Information Organisation/Company Faculty of Sciences of the University of Porto Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions Master
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. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model. The EngD
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Instituto Superior de Contabilidade e Administração do Porto do Politécnico do Porto | Portugal | about 1 month ago
23 Feb 2026 Job Information Organisation/Company Instituto Superior de Contabilidade e Administração do Porto do Politécnico do Porto Department Divisão de Gestão de Pessoas Research Field Cultural