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Computing on the one hand and the study of Complex Quantum Many-Body Systems on the other hand. To this end, the team applies a combination of methods from Mathematics as well as Physics, complemented by
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has a broad research focus on topics of business analytics and operations research. The interdisciplinary group aims to develop novel approaches for solving complex decision problems and explaining
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study of Complex Quantum Many-Body Systems on the other hand. To this end, the team applies a combination of methods from Mathematics as well as Physics, complemented by concepts from Theoretical
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traditional medicine, chemoinformatics and modern data anlysis for the targeted identification and isolation of bioactive metabolites from complex mixtures. The candidate will use analytical and chromatographic
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microscopy (cryo-EM), electron tomography (cryo-ET), and structure prediction. As structural biology expands toward in situ cellular complexity and high-throughput computational exploration of predicted
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focus on topics of business analytics and operations research. The interdisciplinary group aims to develop novel approaches for solving complex decision problems and explaining human behavior in the usage
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Description Your Responsibilities Completing the development agreement with objectives in research, teaching, and administration Active contribution to the working group Complex Social & Computational Systems
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complex challenges in economics and business. In addition, the DataScience@Uni Vienna research network offers extensive opportunities for cooperation with researchers from various departments and faculties
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. Representing RCPE in scientific and industrial networks; presenting results to technical and non‑technical stakeholders and supporting business development activities. Requirements Master’s degree in Data
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international research and innovation networks, and it is a key partner for public administration, companies, universities, and research institutions. The Competence Unit Transformation Governance addresses