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fellowship: Novel microfluidics and machine learning tools for unravelling environmental microbiomes Within the remit of the ERA Chair project REACTORS 5.0 “Sustainable REACTOR and microreactor designS
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Learning and Computer Vision Objetives: This work aims to study, develop and implement computer vision methods to detect and classify areas with imaging alterations from MRI and CT scans
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implementing data services; developing intuitive and interactive graphical interfaces; integrating 3D visualization tools with a focus on emerging technologies such as AR and VR; applying machine learning-based
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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and might include a component of machine learning to speed up interpretation of the phage testing. The appointed candidate will be able to receive further technical guidance and supervisory support from
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behavior of these components will be developed based on Finite Element Methods (FEM) complemented by Machine Learning models. Legislation and Regulations: Statute of Scientific Research Fellow, approved by
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of AI machine/deep learning imagery analysis methodologies and Digital twins applied to cultural heritage assets. 8 - Location Workplace: LNEC – National Laboratory for Civil Engineering, I.P. Avenida do
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articles based on the results obtained. The goal of this work is to explore and prototype different integration strategies, evaluate their effectiveness in selected machine learning or neuroevolution tasks
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, deadlines and multiple streams of activity • Motivation to work in a multidisciplinary academic–industry environment • Proficiency in English (oral and written) • Good computer literacy (MS Office, data
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16 Jan 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions