13 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions at University of Jena Cluster of Excellence "Balance of the Microverse" in Austria
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Grundstufe (praedoc) Limited until: 30.04.2029 Reference no.: 5311 Where to apply Website https://iventajobdata.eu/bestmedia/img/2284472/1912258/cl/5cf77b097cc38f6987463… Requirements Specific Requirements
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aspects of quantitative data analysis: analysis of large/longitudinal datasets, latent variable modelling techniques, structural equation modelling – and strong motivation and curiosity to enlarge
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. If that sounds like something for you, then we are looking forward to your application! Where to apply Website https://iventajobdata.eu/bestmedia/img/2254148/1899630/cl/a2d2dbad79412b4e811cf
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, latent variable modelling techniques, structural equation modelling - and strong motivation and curiosity to enlarge these skills further • Excellent command of written and spoken English (C1 Level or
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. This position will be part of the Environmental Psychology research group (see https://env-psy.univie.ac.at/about-us/) and will be supervised by Profs Sabine Pahl and Alexandra Brausmann (environmental economics
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our team on our website: https://cosmology.univie.ac.at . As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about
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on our website: https://cosmology.univie.ac.at . As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about current topics
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Anthropology at the Faculty of Life Sciences seeks to appoint a pre-doctoral researcher with expertise in archaeology/archaeological science and to work with Associate Professor Katerina Douka (https
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the project: https://www.anthrofuture.com . The employment duration is 3 years (36 months). Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains