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Field
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science, physical chemistry, materials science, or materials engineering, or a closely related field • Experience with cellulose and its processing technologies is an advantage • Strong willingness
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Ability to work independently and collaboratively in a multinational team Experience with EPR spectroscopy or related techniques Background in inorganic, bioinorganic, or coordination chemistry Experience
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skills proficiency in English (level B2 to C1 according to the Common European Framework of Reference for Languages); knowledge of German would be an asset Experience in the following areas would be
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
and the ability to work independently or in a team Preference will be given to candidates with evident experience in the listed fields What we offer Training in cryo-electron microscopy and interfacing
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to work independently or in a team Preference will be given to candidates with evident experience in the listed fields What we offer Training in cryo-electron microscopy and interfacing techniques
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the knowledge graph Your profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency
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well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South
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experimentally investigate two representative types of base isolators - friction pendulum systems and elastomeric rubber bearings under European seismic hazard conditions. The research will contribute
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: 29.07.2025 Limitation:Temporary (2 Jahre, Verlängerung angestrebt) Contract:TV-L Your tasks Single-cell multiomics in primary cells: wet-lab experiments and performing bioinformatic analyzes on the single-cell
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will