162 evolution "https:" "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Forschungszentrum Jülich
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strong Excel skills You are organized, reliable, and proactive You are a good communicator and enjoy teamwork You are comfortable working in English (at least B2 level according to the CEFR: https
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support and mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz
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Your Job: Join the SIB:DE FORSCHUNG (Sodium-Ion-Battery Germany Research) project, funded by the Federal Ministry of Education and Research (BMBF), and actively contribute to the development
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR
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for the position. In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms
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mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz-juelich.de/en
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datasets with machine learning methods, and software development are beneficial Good organisational skills and ability to work systematically, independently and collaboratively Effective communication skills
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the scientists, you will expand our equipment pool, in order to meet user needs and keep it up to standards. This can be achieved either through new purchase, or through the development of new equipment in
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detail: Identification of novel electrolyte components (conductive salts, solvents/co solvents and functional additives) and their optimal compositions for the development of advanced non aqueous aprotic
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Your Job: Chromatography modeling, while crucial for modern bipporcess development, still heavily relies on empirical determination of key model parameters. By combining protein structure