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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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. The department also has been recognized for its contributions to geoinformatics and cartography. This interdisciplinary basis in computational, social, and natural sciences provides a dynamic and inspiring
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matter models in general realtivity, in particular Vlasov matter, and you are willing to deepen your expertise in the mathematical and numerical methods relevant for the dissertation project. You are able
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on applying computational methods to psychological and clinical domains, especially large language models, natural language processing, machine learning, and statistical modeling for the analysis
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chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab initio quantum chemistry to understand and predict structure and reactivity in the ground and electronic
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Faculty of Social Sciences. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication using computational methods. We strive to advance core fields of
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negotiated in communities that engage with steroid hormones beyond conventional healthcare settings. Through a participatory research design, the project integrates qualitative social science methods with
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knowledge in the field of Austrian tax law and European law Methodological competencies: Jurisprudential methods Knowledge of principles of teaching High ability to express yourself both orally and in writing
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of Psychological and Neuroscientific Methods in Psychotherapy Research The working group actively promotes open and reproducible science (e.g., through pre-registration and the sharing of materials and data) and
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Excellent English proficiency, spoken and written IT user skills (computer literacy) Ability to work in a team Desirable: Good knowledge and solid understanding of language learning and teaching research with