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, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen candidate: heterogeneous catalysis in organic synthesis, covalent organic frameworks, and/or
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. Experience with training-needs analysis, learning evaluation, competence-based education, or digital learning environments. Formal pedagogical training and familiarity with EOSC-related practices
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experimental research (optics lab), including automation of data acquisition and data analysis Proven track record of research publications in your field Excellent communication skills (fluency in English
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additive manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM
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, semantic interoperability, or FAIR assessment tools. Experience with training-needs analysis, learning evaluation, competence-based education, or digital learning environments. Formal pedagogical