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on your current qualifications and the precise nature of the tasks assigned to you. All information about the Collective Agreement for the Public Service (TVöD-Bund) can be found on the BMI website: https
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storage at solid-liquid interfaces (i.e., catalyst-molecule) using advanced analytic methodologies (including large-scale research facilities). The current project deals with establishing operando analytic
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position, please contact Dr
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classified in pay grade 13 -14 of the TVöD-Bund (Collective Agreement for the Public Service). All information on the TVöD-Bund collective agreement can be found on the BMI website: https://go.fzj.de/bmi.tvoed
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact Dr
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Requirements: Master’s degree or PhD in biology, ecology, environmental sciences, marine sciences, or a related field Ability to work with complex ecological or environmental datasets Experience with data
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile Recognised Researcher (R2
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 8 days ago
Additional Information Website for additional job details https://recruitingapp-5442.de.umantis.com/Vacancies/2142/Description/2?lang=eng Work Location(s) Number of offers available1Company/InstituteAlfred
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Profile PhD in bioinformatics, computational biology, systems biology, or a related field Experience in genome data analysis (metagenomic/amplicon sequencing) and genome analysis (assembly, annotation
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bioinformatics, systems biology, synthetic biology, biotechnology or related disciplines. Knowledge in automated workflows for (large) data analysis, using Galaxy or similar tools. Experience in the automated