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- the the Erich Schmid Institute of Materials Science of the Austrian Academy of Sciences (ÖAW)
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Postdoc Research Group Freunberger: metal-sulfur electrochemistry
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Materialist theories Developing appropriate (design) research methods Project management About the project:Thinking with Things is funded by the Austrian Science Fund (FWF) and will start on January 1, 2026. It
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the the Erich Schmid Institute of Materials Science of the Austrian Academy of Sciences (ÖAW) | Austria | 20 days ago
-depth understanding of methods and, if necessary, expand this with regard to the specific research needs of the institute. Your Tasks The successful candidate will be part of an international team whose
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. quinolones, AHLs), quorum sensing pathways Preferably experience in working with metal chelators Experience in working with microbial cultures (preferably with biosafety level 2) Publications in peer-reviewd
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standards (e.g. quinolones, AHLs), quorum sensing pathways Preferably experience in working with metal chelators Experience in working with microbial cultures (preferably with biosafety level 2) Publications
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at an international level, interest in translating linguistic and pedagogical research into methods and materials for English teaching in schools, international experience, very good command of German (C1
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mixed methods. Contribute to the HCI and EdTech research team (https://www.tugraz.at/en/institute/hcc/research/research-groups/team-pammerschindler ). Engage in interdisciplinary collaboration with
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educational philosophy focus Knowledge of structures and developments in adult and continuing education Willingness to acquire comprehensive skills in qualitative and/or quantitative methods of empirical
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the mechanical properties of metallic glasses though advanced synthesis and characterization techniques. A strong focus will be the effect of oxygen as an alloying element. The project will be carried out in
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, with emphasis on PHY and MAC layer methodologies. Develop scalable hierarchical learning methods for wireless systems, integrating selfsupervised adaptation with cross-level knowledge transfer. Publish