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% 9. The evaluation process may include an interview with the candidates or a portion of them, to be selected by the Evaluation Panel, which will have a maximum weighting of 20%. 10
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fellowship type. The fellowship is due to start in 10/2025. . WORK PLAN: This fellowship is part of the jointly promoted NEUROLYMPICS – Neuro-Centric Multimodal Control System project, focusing on preliminary
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collected as part of the project and provided to the student; 3) implement AI models and interfaces that enable interaction with the acquisition system; 4) configure the models to operate automatically in
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. - Sharing the results of the research by taking part in an international conference and submitting an article for publication in an indexed scientific journal. WORKPLACE AND SCIENTIFIC SUPERVISION: The work
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new therapeutic approaches for a genetic neurodegenerative disease. The work plan will have a strong analytical and modeling component, involving: • Application of advanced statistical models
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" BioShoes4All - Inovação e capacitação da fileira do calçado para a bioeconomia sustentável: medida 2.1.1”, co-financed by Component 12 – Promotion of Sustainable Bioeconomy, integrated in the Climate Transition
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areas; b) Be enrolled in a doctorate in the area of biological sciences, biotechnology or related areas, or in a course that does not confer an academic degree as part of the educational project of a
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Management, as part of the modernization of the Port of Sines. The focus will be on understanding how workers, users, and other stakeholders adapt to digitalization and how it transforms skills, processes, and
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
Resilience Plan (PRR), under the implementation of the sub-investment with the code C19-i08, designated as “Smart Territories - AMA” of the PRR, component C19 – Public Administration – Digitalization
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statistics and/or machine learning, particularly in multivariate analysis (e.g., principal component analysis, regression) and data integration methods; Experience in scientific research activities