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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
in the relevant field and ability to network (e.g., demonstrated through national or international project cooperations with universities or research institutions) - Outstanding, relevant publication
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leadership training, as well as career development support Joining ISTA’s and the NOMIS Foundation’s global networks of exceptional, pioneering researchers Proposals are invited in the following fields
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
Tyrol with state-of-the-art shotgun metagenomics, microbiome and resistome analyses, ecological network modelling, machine learning, and synthetic microbial community (SynCom) experiments. The PhD
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of strategic and policy relevance, including conflict forecasting, scenario modelling, geopolitical risk assessment, network analysis, sanctions dynamics, supply-chain dependencies, alliance networks, geospatial
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of Graz, and to be responsible for this area in teaching. The appointed professor is expected to have a strong intrinsic interest in building robust interdisciplinary research networks withinthe University
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of digital media Gender mainstreaming and diversity management skills International networking within the field Excellent knowledge of German, very good knowledge of English Selection Criteria The successful
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of research data in scientific journals and at conferences Maintaining and expanding research networks within and outside Johannes Kepler University (JKU) Contributing to scientific publications and reports
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student counselling and credit recognition; representing the ISW within the Verbund West network and acting as a liaison between the university and schools Independent delivery of courses in the fields
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laboratory organization and maintenance Participation in infrastructural and organizational tasks Maintaining research networks within and outside JKU Compilation, analysis, interpretation, and presentation
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an embedded spiking neural network (SNN)-based system capable of efficient threshold-based data acquisition, pre-processing, and embedded SNN acceleration. The selected PhD student will work as part of a