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Field
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demonstrate experience and skills in: a) Knowledge of and experience in the use of qualitative and/or quantitative research methodologies, demonstrable, for example, through co-authorship of publications
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knowledge in mechanical vibrations and nonlinear dynamics, demonstrated through scientific publications and successful completion of 2nd and 3rd cycle (Master’s and PhD level) curricular units (proven
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the scientific area of Chemical Engineering, enrolled in a doctoral degree. OR Master’s degree holders, in the scientific area of Chemical Engineering, enrolled in a non-degree-granting course. Knowledge of
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characterization. This will require knowledge of statistical data processing. (ii) Assess the impact on soil/substrate of using wastewater for agricultural irrigation (Activity 2), in order to understand
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
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achievements course of studies knowledge of the language(s) of instruction or working language(s) if applicable, relevant internships, work experience Quality of the study project Quality of the study project
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– e.g. Food Science, Industrial Design, Project Management • Relevant experience in the food industry, ideally knowledge of new product development, process improvement and product launch protocols
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of computational thinking and didactic knowledge in mathematics among future teachers of the Primary School; Prepare and submit scientific articles. Where to apply Website https://www.ipc.pt/bupc/concursos/form
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– Academic knowledge – 20% - Criterion 4 – Adequacy of the candidate’s profile to the work plan to be developed– 40% Will be valued expertise in advanced organic synthesis and chemical characterization using
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given to candidates with demonstrated knowledge in the following areas: Metasurface inverse design Femtosecond lasers Candidates without a clear experience in inverse design techniques for metasurfaces