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. The Humboldt-Universität zu Berlin is bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Data protection
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on the homepage of Humboldt-Universität zu Berlin: https://hu.berlin/DSGVO . Please visit our website which gives you access to the legally binding German version. Where to apply E-mail [email protected]
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the application only. The Humboldt-Universität zu Berlin is bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL
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bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Data protection information on the processing
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. The Humboldt-Universität zu Berlin is bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Data protection
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. The Humboldt-Universität zu Berlin is bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Data protection
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the starting date, a PhD in a computational science field (e.g., Computer Science, Cognitive Science, Physics, Applied Mathematics, or related). Proven publication records in at least one of the areas above
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modifications (PTMs) and will use advanced in vitro and animal models for translational studies to develop knowledge based nutritional intervention strategies for hub molecules. The hub molecules of life
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bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Information pursuant to Art. 12, 13 DSGVO
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/ TVöD. The successful candidate will work in the project MECAM – Merian Centre for Advanced Studies in the Maghreb: https://mecam.tn/?lang=en , funded by the German Federal Ministry of Research