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surfaces machine learning methods, and/or the development of novel solutions to the many-body Schrödinger equation. Applicants with proven experience in the development of new computational methods and their
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, hydrology, environmental science, or a related field. Experience or strong interest in experimental and numerical geophysical methods and quantitative data analysis is especially welcome. The successful
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interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental design, and agent-based modeling to address problems in
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Computational and Soft Matter Physics Group at the Faculty of Physics invites
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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sphere of influence: The Konrat lab is developing NMR spectroscopy methods for structural cell biology and is looking for a PhD student to join the team. The employment duration is 3 years. Initially
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neurobiological bases, studying how the brain maintains or changes functionality over time, and probing its evolutionary origins and development. Our PhD program is tailored to individual career tracks and includes
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language and non-linguistic cognitive functions. The experimental methods used in the group include EEG, eye-tracking, fNIRS and behavioural methods. The PhD candidate will be integrated in the Vienna
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concordat law. The Institute for Canon and Religious Law conducts research using legal and canonical methods. At the interface between law and theology, canon law reflects on all questions of the legally
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and determination? We are currently seeking a University Assistant Predoc in Software Architectures (completion contract) 39 Faculty of Computer Science Job vacancy starting: 01.10.2025 (MM-DD-YYYY