53 finite-element-analysis positions at UNIVERSITY OF VIENNA in Ireland-University-Ranking-2024
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, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics offers excellent conditions for doctoral training at the highest level in all areas
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emphasis on standard and non standard finite element methods with applications to wave propagation problems and nonlinear reaction-diffusion problems. Further information about our research area and about
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Artificial Intelligence and Virtual Reality in the Context of Therapy Research. Experience with Ecological Momentary Assessment. Excellent knowledge of statistical analysis software. Work experience with
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education (in progress or completed). In-depth knowledge of psychophysiological methods. Excellent knowledge of programming and data analysis software (R, Python, MATLAB). Ability to present and address
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on the preparation and characterization of sophisticated molecular architectures using modern synthetic methodologies, including transition-metal catalysis and radical-mediated transformations, and
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(postdoc) Limited until: 30.09.2030 Reference no.: 6224 How far can we push matter-wave interference with metal clusters? How can we use quantum interference for novel measurements of nanoparticle properties
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, for example, hydroamination and hydroaminomethylation and -alkylation (metal-catalyzed and metal-free), borrowing hydrogen approaches, reductive amination, Mannich and Mitsunobu reactions and nucleophilic
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management, particularly in the establishment, operation, and further development of research infrastructures, as well as with outstanding research expertise in manual and computer-assisted content analysis
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above. Finalising the dissertation agreement within 12–18 months. Analysing behavioural and neuroscientific data and developing transparent and reproducible analysis workflows. Participating in research
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join our accomplished team! Your working area: The research group Statistical Analysis and Inference (STAIN) (https://stain.univie.ac.at/ ) at the Department of Statistics and Operations Research (https