182 parallel-computing-numerical-methods positions at University of Vienna in Austria
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, or property law. Other topics are not excluded. The Institute for Canon Law and Religious Law conducts research applying legal and canonical methods. At the interface between law and theology, canon law
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disciplines. Proven initial experience in academic writing and familiarity with research methods (interest in both qualitative and quantitative methods). Didactic skills and teaching experience are advantageous
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interdisciplinary studies, or similar planning-oriented disciplines. Proven initial experience in academic writing and familiarity with research methods (interest in both qualitative and quantitative methods
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addition, the candidate should be experienced in applying various molecular techniques such as PCR- and NGS-based methods and fluorescence in situ hybridization as well as cultivation of slow growing
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culture techniques. Support of analysis activities for cooperation projects and clinical analysis. Engaging on the optimization of lipidomics/oxylipin (phospho) proteome analysis methods. You hold courses
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book, and building up an independent research profile you publish internationally and present papers in conferences and workshops give you independently teach courses in the BA program (proseminars), one
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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in solution and solid phase chemistry (e.g. peptide and bioconjugation chemistry). Characterization of compounds by common analytical methods like HPLC, MS and NMR. Radiometal-labelling reactions and
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of Austrian Civil Law Basic experience in academic writing and with research methods are beneficial Didactic competences / experience with e-learning IT user skills German proficiency at least at level C1
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, using methods of applied econometrics and increasingly also machine learning. Large data sets typically form the basis of our analyses. Thus familiarity and a certain expertise on these is also expected