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and presentations, if applicable). High scientific qualification in numerical methods and scientific computing. Didactic skills and qualification as well as experience in e-learning. Excellent
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adminstrative affairs, which means: Conducting research projects in the field of microbial biotechnology. Gene cloning using a variety of methods. Generating recombinant bacteria. Testing bacteria
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team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination
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team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination
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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models
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influences water dynamics and greenhouse gas (GHG) fluxes using state-of-the-art geophysical methods (e.g., geoelectrical methods and nuclear magnetic resonance techniques) and biogeochemical measurements
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. Interests could include geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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to bridge the gap between regulatory aspirations and real-world constraints and outcomes, offering innovative approaches to compliance monitoring in an era where traditional methods are increasingly