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the research team around Univ.-Prof. Adrian Constantin, PhD. Our ideal candidate has a strong interest in Mathematical Analysis with special backround in Partial Differential Equations and Dynamical Systems, can
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expertise in fields that are of great important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and
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join our accomplished team! Your responsibilities: As a University Assistant Praedoc, you will complement the research team focused on Byzantine Art History. The research emphasis lies in the analysis
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of Byzantine Art History (Faculty of Historical and Cultural Studies). The research focus is on the analysis of Byzantine visual art, taking into account iconographic, stylistic, and cultural-historical
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discipline. Expertise in the field of empirical (educational) research. Strong methodological skills in quantitative research and experience with statistical analysis software (e.g., R, Mplus, JASP). Excellent
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in providing computational methods to improve the representation, retrieval, integration, analysis, visualization, and communication of spatial and spatiotemporal data with a wide range of applications
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approaches and/or statistical methods of data analysis. You can find more information about our research area and our team on our website: https://www.mabs.at . The start date of the contract is negotiable. As
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Computing Cloud Computing Performance Analysis and Optimization Communication Technologies for Supercomputers Workload Management and Scheduling Optimization of LLM Training and Inference Our working language
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methods, including inductive and abductive approaches Good knowledge of deliberative and interpretive policy analysis The following additional skills are desirable: Experience with blended learning
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chemistry-driven projects and chalcogen bonding. Proficiency in data analysis and interpretation, as well as the ability to critically analyse scientific literature. Excellent written and oral