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The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our
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research results in high-quality international venues Curiosity to work with researchers from a heterogeneous group, with core expertise in communication theory, networking, information theory, statistics
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required
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astrophysics that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star
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computational datasets of disordered materials based on density functional theory calculations and training machine learning models to accelerate the predictions. This work will involve collaboration with Assoc
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changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our
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” and will be with Georg Oberdieck as a mentor. The main duty of the position is research within algebraic geometry or a closely related field such as geometric representation theory. The following
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to applied nonlinear problems arising from water wave theory and nonlinear optics conduct research either independently or as part of a team contribute to journal publications and other academic outputs
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used as the groundwork by other teams at the Centre, including theory, characterization and application teams. Where to apply Website https://skk.erecruiter.pl//Offer.aspx?oid=4772058&cfg