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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention. We invite applications to join the
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approaches to Artificial General Intelligence (AGI) that go beyond LLM-centric paradigms. We are seeking a postdoctoral researcher interested in developing new research directions, including work related to
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institutions, and a provider of research and development for companies throughout the world. The INM is an institute of the Leibniz Association and has about 250 employees. The INM research department Structure
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention (https://www.dife.de/en/). We invite
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institutions, and a provider of research and development for companies throughout the world. The INM is an institute of the Leibniz Association and has about 250 employees. POSTDOCTORAL POSITION ON REVERSIBLE
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; responsibly prepare publications with the team; as needed supervise student helpers and BSc/MSc in the context of the project. The working group Geoecology and Carbonate Sedimentology is (subject to release of
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spectrum from basic and applied research to pre-industrial development and is carried out in cooperation with national and international partners from universities, academies and industry. The institute is
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focus on topics of the department and in particular on determinants and development of socio-emotional and cognitive competencies, preferably with data from the National Educational Panel Study Exchange
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workflows within selected ELM use cases by developing code to create semantic annotated data structures. Development of metadata schemas for typical synthetic biology steps and methodologies in ELM research