43 parallel-processing-"Flow-Analysis-and-simulation-Team" Postdoctoral positions at UNIVERSITY OF VIENNA
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, analyzing and visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in agent-based modeling and simulation as well as network analysis. Your
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experience in research management of quantitative social science data, such as the development, processing, analysis, and archiving of survey data, experimental data, or text data Publications in
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colleague experienced in computational text and/or image analysis and processing platform data. Your future tasks: Contributing to research, teaching, and administrative tasks at the Department of
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found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future
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Greek and Latin, alongside the literary analysis and textual interpretation of works from European Antiquity that have significantly shaped, and continue to influence, world culture. Student
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analysis, and scientific explanation of phenomena of education. Your subject area will include the education and trainingprocesses in specially created social institutions (such as schools), as well
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historical disciplines (history, art history, cultural studies, etc.) demonstrated through relevant training or practical experience. You have experience of working in a team and on interdisciplinary research
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management Didactic skills / experience in e-learning IT skills Excellent knowledge of English (C1) Team player and high social/communicative skills Knowledge of: Familiarity with university procedures and
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echocardiography, bicycle, treadmill and rowing ergometry, lactate and mobile blood gas analysis, spiroergometry, strength diagnostics and equipment for medical training therapy). Duration of employment
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work in a team, good organisational skills, high reliability, and a commitment to developing reflexive and caring research cultures. Experience in (co-)supervising student theses is also an advantage