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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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, 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
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visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in computational text and/or image analysis and processing platform data. Your future tasks
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participate in research, teaching, and administration, which includes: Research on Taste GPCRs: Investigating the molecular mechanisms of G-protein-coupled taste receptors (GPCRs). Analysis of Structure
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of Physical Chemistry in the work group for Chemical Sensing and Rapid Analysis at the Faculty of Chemistry, characterized by excellent research in biomimetic sensing. Especially, it is on the forefront
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well as (auto-)biographical text analysis; experience with the combination of multi-method approaches as well as with cooperation in mixed-methods projects. Sound theoretical knowledge of practical and
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and are able to work independently Desirable Practical experience in setting up and operating technical laboratory infrastructure, particularly sampling line systems, as well as with relevant component