110 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" positions at University of Vienna in Austria
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opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The Faculty
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Science and University Sports (Auf der Schmelz 6a, 1150 Vienna), our team focuses on multi-scale simulations to enhance the understanding of typical and pathological movement development. We collect and
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development of your own research profile is expected. Your future tasks: You take on the overall scientific coordination of the AAAging study (planning, monitoring, quality assurance) You supervise PhD
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interdisciplinary research group and will provide you with space and resources for your personal career and profile development, combining method development, application to real-world problems, and collaboration
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. Visual Data Analysis you will develop methods/tools to enable more effective research, e.g., enabling medical professionals to explore and discover patterns in disease progression and to assess treatment
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challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The Faculty of Mathematics at the University of Vienna
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sustainability. Your future tasks: Active engagement in research, teaching, and administrative responsibilities, including: You develop an independent research profile in the fields of trace element analytics and
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years at the Institute of Biological Chemistry at the Faculty of Chemistry. Your position is at the AG Kurzbach, which works on the development of unconventional magnetic resonance methods, including
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Catechetics. The Department of Practical Theology and its staff have a special academic interest in social developments and their challenges for theology, church, politics and education. Therefore
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the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks