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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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azoospermia working with large-scale genomic datasets Functional characterisation of genetic variants in Drosophila utilising CRSIPR/Cas9 Supervising and training of students (PhD, MD, Master
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
for Demographic Research, Rostock This network focuses on “scientifically motivated engineering” to design, build, and test digital prototypes—such as machine learning models and large language models—that serve as
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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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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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the Budapest-Marseille-Wuppertal lattice collaboration. Your Profile: Master and subsequent PhD in theoretical particle physics or similar field Strong motivation for working in the field Extensive experience in
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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team Sincere interest in analysis of large-scale data – we can provide guidance Your
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
) package, and the broader MW-Atlas computational infrastructure The goal is to enable scalable, information-theoretically consistent inference of Galactic structure from heterogeneous and large-scale
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related