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software, such as AutoCAD and SolidWorks, and solid programming skills using Python, SQL, and Power BI; 5 points; Experience with other software – 2 points. Candidates will be ranked in a 1 to 20 scale
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of rights, preparation of technical standards and legislation. Authorship and co‐authorship of patents, registrations of ownership of intellectual property rights on software, mathematical methods and rules
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of intellectual property rights on software, mathematical methods and rules of mental activity. Participation in the elaboration of legislative projects and technical standards. KT2 –Projects with companies and
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and will actively participate in research activities related to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools
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signing the contract. Activity Outline: Development of road safety studies, namely through literature review and data analysis, with a view to scientific publication. The use of statistical software (R
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assessment (LCA and carbon footprint) – 5 points; knowledge in other areas of environmental management/assessment – 2 points. c) Experience in the use of software tools applied in LCA studies (e.g. SimaPro
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the project’s scope – up to 1 point. c) Knowledge of MATLAB, Python, or equivalent software for the analysis and processing of experimental data – up to 5 points. The curriculum of each candidate will be
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with industrial application using sensor systems, systematized software production and scientific production and writing, designing, building and testing laboratory prototypes for predictive maintenance
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and observables outside the training dataset. Task 4 - Integration of the trained TBNN model into the open-source CFD software, OpenFOAM. Perform a series of simulations to validate the trained TBNN
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be fulfilled to determine the appropriate profile for the activity to be developed: a) Candidates should have skills in solid mechanics and software development for mechanical engineering applications