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points and will focus on knowledge of the project's scientific area, interest in pursuing research in the project area, and oral and written communication skills, particularly in English. Each candidate's
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linked to the INOV-NORTE project, supporting the dissemination of best practices; 4) Dissemination of results and knowledge transfer through the production of reports, scientific communications, and
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, motivation letter, reference letter, and other relevant supporting documents of additional knowledge/skills. Exceptionally, in duly justified situations, proof of enrolment in a cycle of studies or courses
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data, systems integration, and data visualization – 4 points iii. Knowledge/skills in the fields of logistics, sustainability, big data, systems integration, and data visualization – 4 points iv. Full
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application. • Candidates must have a master's degree in environmental engineering or a related field, with prior knowledge and experience in research related to energy poverty. Documents proving this situation
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for the selection interview, should it be held, will be: a) Breadth and specificity of knowledge of the subjects mentioned in the preferential requirements (from 0 to 40 points); b) Communication skills (0 to 30
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, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1 - Knowledge and profile appropriate to the roles to be performed. - Criterion 2 - Clarity of speech
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, the candidates' academic performance will be assessed according to the following weights and criteria: - Absolute merit of the Curriculum Vitae - Specific knowledge related to the work plan VII.II- I – Evaluation
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European Comission, under the following conditions: Scientific area: Biochemistry Admission requirements: - Solid knowledge in Biochemistry - Proven experience in saliva proteomics analysis Preference
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knowledge - survey of the current State of the Art in terms of using recycled plasterboard waste for the production of plaster or similar materials, including environmental and eco-efficiency factors