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scientific results in (high impact) journals with a peer-reviewed process Requirements: The ideal candidate holds a PhD in Bioinformatics / Computational Systems Biology or a closely related scientific
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part of the work, the applicant (m/w/div) is expected to participate in the lnstitute's structured doctoral program in order to successfully complete the dissertation. The initial appointment is for one
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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of Empirical Innovation Economics. Participating in the structured doctoral program of the Munich Graduate School of Economics (MGSE) at LMU. Contributing to exciting and highly relevant policy projects
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(Sondertatbestand), ZMT is strengthening its capacities in the field of modelling and adding predictive aspects to its existing research programmes. The institute’s five Programme Areas (PAs) are interdisciplinary
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and Technology – Program Area B, usage and information systems, is looking to employ an Open Access consultant in the European context (m/f/d) to work in our publishing services division at the next
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research institutions, and a research and development provider for numerous companies throughout the world. The...
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the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental climate states. Key
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, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination