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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 5 days ago
# Experience or knowledge in safe handling, preparation, and analysis of ore samples containing naturally occurring heavy elements # Familiarity with high-temperature redox processes and plasma technologies
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higher education institution (In this situation, if the academic degree is foreign, recognition is requested) - The candidate must have some experience/knowledge in implementing Ontology-based models
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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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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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Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days agosystems, as well as knowledge of the interaction of radiation with participating media. Duration: The research fellowship will have the duration of 3 months. It’s expected to begin in October 2026
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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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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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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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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