75 evolution "https:" "https:" "https:" "https:" "https:" positions at Leibniz in Germany
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methodologies. The focus is on across-organ imaging, ranging from non-human primate (NHP) models to human applications. You will contribute to the development and application of state-of-the-art MRI techniques
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for the multifunctional materials investigated at the institute, and we are looking for candidates that will contribute to their development. We seek a highly motivated specialist as Leader of the Core Facility
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-driven initiative in ELMs, we seek a Project Manager in Regulatory Affairs related to biotechnology/biomedical products (f,m,d) to develop guidelines and best practices for the development of safe and
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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
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at the University of Freiburg. Your roles: Contribute to the digitalization of the materials/data development workflows of selected ELM use cases by developing code to create semantically annotated data structures
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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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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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Individual development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM Energy Materials Group
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preparation for sequencing) Work with state-of-the-art microarray and imaging systems. Analyze experimental data statistically and contribute to method development and troubleshooting. Ideal Applicants Must