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accomplished team! Setting: The University of Vienna seeks to fill a position of University Assistant (prae doc), for a period of 4 years, focusing on process mining. The selected prae doc will become part of
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robots, avatars, social bots, virtual assistants, or AI-driven systems such as chatbots, recommender algorithms, or generative AI. The position focuses on how communicative processes are shaped by and
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; preparation and processing of technical and financial reports; maintenance and update of project web page; organisation of teleconferences / project meetings / workshops / conferences. In project proposals
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of influence: As a university assistant prae doc you will complete the research team around Prof. Dr. Christian Koller in civil procedure law. In addition to your independent research, you will contribute
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processes in the areas of everyday life, art, politics and society that take place under the conditions of digital media; conditions and practices of digital knowledge culture; platform studies; body- and
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educational processes in times of social change, for example with regard to individual biographies, social structures, and current crisis phenomena. In addition, the ability to connect to existing focal points
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on biodiversity, ecosystem functioning, and human health. In response to these challenges, this professorship will focus on biogeochemical mechanisms and processes that control the dynamics and fate of metals in
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mediated ecosystem processes and potential underlying mechanisms, such as interactions among microbes and with their biotic and physicochemical environment. The professorship is embedded in the Centre
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computer simulation techniques and uses them to study a broad range of condensed matter systems with an emphasis on the statistical mechanics of equilibrium and non-equilibrium processes. Members
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Responsibilities: To assist with the smooth running of the fundraising system and processes, e.g. updating template documents, recording processes, record keeping within the workspace and on the donor database