450 structures "https:" "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" positions in Austria
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with the chemistry of (poly)amines and alkaloid-like structures, as well as macrocyclizations. Experience with hydroamination and hydroaminoalkylation, both under metal catalysis and metal-free
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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: Completed doctoral/PhD studies in Art History, on a topic of Early Modern Italian Art Experience in independent teaching Good knowledge of university processes and structures Experience in organizing
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processes as well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological
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research team in the field of cellular and molecular neuro- and vascular pharmacology. You will be involved in a clearly structured PhD project and work independently on scientific questions. The research
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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written and spoken English IT user skills Desireable knowledge is: Teaching experience / experience of working with e-learning Knowledge of university processes and structures Experience abroad Basic
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Experience in participating in research projects Didactic skills / experience in e-learning IT skills Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) GFL
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics