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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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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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years at the Institute of Biological Chemistry at the Faculty of Chemistry. Your position is at the AG Kurzbach, which works on the development of unconventional magnetic resonance methods, including
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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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-linguistic cognitive functions. The experimental methods used in the group include EEG, eye-tracking, fNIRS and behavioural methods. The PhD candidate will be integrated in the Vienna Doctoral School
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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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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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home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with the international scholarly community
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of Vienna, Faculty of Chemistry, is home of the Vienna Doctoral School in Chemistry (DoSChem). DoSChem is the largest doctoral training program in Austria focusing on the field of chemistry and closely
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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as