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theoretical chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning. The group is part of
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metadata Implementation of data management plans and FAIR data principles Development and maintenance of standardized data structures for raw MS data, metadata, processed datasets, and result files Design
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of (poly)amines and alkaloid-like structures, as well as macrocyclizations. Experience with hydroamination and hydroaminoalkylation, both under metal catalysis and metal-free conditions. Experience
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shotgun lipidomics. Profound knowledge of lipid structures and fragmentation rules. Solid understanding of the relevant concepts in mass spectrometry-based lipidomics and/or metabolomics. Enthusiasm
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of university processes and structures What we offer: Work-life balance: Our employees enjoy felxible working hours, remote work (upon agreement). Inspiring working atmosphere: You are a part of an international
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. Team player with a hands-on working approach. Strategic and analytical mindset. Ability to structure tasks and set priorities. Desirable skills and experiences Familiarity with academic research
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this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical
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this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical
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and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines education in
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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 experience in