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; c) Publications in the area of Chemical Engineering - 5 points, Publications in related areas – 1 point; Publications in other areas – 0 points; d) Knowledge and experience in: i) methodologies
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professional duties. Demonstrated knowledge of specification formats such as MasterFormat, UniFormat, and SectionFormat. Experience coordinating interdisciplinary input from architects, engineers, and other
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awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - knowledge of complex production systems
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and harmonization of qualitative and quantitative spatial data to support the co-design and evaluation of Nature-Based Solutions; or possession of a PhD relevant to the required experience. - Knowledge
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Information on language requirements and self-assessment tests Assessment criteria Candidates will be assessed on the basis of the following criteria: Technical competencies Solid knowledge of laboratory
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15/20 points (3 points), Classification/Average of the master’s degree in Informatics Engineering - lower than 15/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems
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TEC. 2. OBJECTIVES: - Broadening knowledge of the state of the art in the specific scientific field related to the fellowship; - Developing models and supporting the implementation of multi-aspect use
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electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and
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scholarship methodologies, technologies, and tools Other duties as assigned Knowledge, Skills, & Abilities Knowledge of digital scholarship tools, methods, and trends Knowledge of project management and
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required experience. - Knowledge of advanced languages and tools for optimization and data analysis (e.g., Python, Matlab, R). - Knowledge of English and basic IT skills (to be assessed during