175 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Vienna
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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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Discovery, Chemistry, Biochemistry, Biotechnology, Microbiology), completed doctoral study in Science. Computer literacy (MS office, management of databases). Very good command of oral and written language
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, interdisciplinarity and philosophy of engineering. Your duties will include active participation in research, teaching and administration at the Department of Philosophy in the research area of computational philosophy
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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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enrolment in the doctoral programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions, please contact: Daniela Hohenwarter-Mayr daniela.hohenwarter-mayr@univie.ac.at We
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methods of Translation Studies Excellent command of written and spoken German Excellent command of written and spoken English Excellent command of another language offered at the Centre for Translation
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This is part of your personality: Minimum job requirements: Diploma/master’s degree in Translation Studies Research interest in online collaborative translation Knowledge of theories and methods
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methods in Chinese Studies (with a cultural focus) Demonstrated knowledge of Chinese history, culture, and society Excellent English communication skills (written and oral, equivalent to C1 level) Advanced
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research methods are beneficial Didactic competences / experience with e-learning IT user skills German proficiency at least at level C1 Excellent command of written and spoken English You should be a team
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experience sampling) and/or experiments/intervention studies as well as relevant publication experience is expected. Excellent knowledge in dealing with complex statistical models and methods and the