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- Centro de Estudos Sociais da Universidade de Coimbra
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scientific publication and writing articles in international journals; 8) Experience in data visualization tools and advanced statistical analysis (e.g., pandas, scikit-learn, matplotlib, seaborn, SHAP
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interaction with the road infrastructure. • Experience in big data analysis and handling of large data sets, with skills in applying AI and machine learning techniques to traffic pattern analysis and road
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of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in
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factors: Previous experience in the construction industry; Previous experience in Building Information Modelling; Previous experience in AI and machine learning; Previous experience in process and facility
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and written language proficiency in both English and Portuguese (with reference to the context where the candidate learned and perfected both languages or to whether they are native speakers); Detailed
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researcher may be asked to teach 4 hours per week of curricular units within his/her area of expertise, within a limit of 90 teaching hours per year. The gross monthly salary to be paid shall be € 2.351,53
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Neuroscience on object representation and object properties using machine learning and multivariate techniques to analyze the data; support in writing scientific outputs. The grantee will also support the entire
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, and clustering methods; Knowledge of machine learning approaches for classification and patient stratification is valued; Postdoctoral experience in the appropriate field, with research outputs ideally
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Postdoctoral Researcher to join the group under the LEARN and iCare projects. Job Duties The job duties will be the following: Design and conduct experiments to investigate how environmental chemicals and