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quantitative, real-time multimodal mesoscopic and microscopic imaging. • Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative
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Interest in comparative research designs Publications in peer-reviewed journals and/or strong evidence of publication potential Excellent command of English; knowledge of German is an advantage but not a
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and part-time models. Your contact Please send your meaningful application by the 15.03.2026 via our online form. Questions regarding the content of the position will be answered by Prof. Dr. Ilka
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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mechanical robustness during battery operation with controlled debonding-on-demand at end-of-life to enable direct recycling. Within this project, the focus of the Department Structure Formation (SF) is on
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analyse data from krill fishing operations and explore the potential impact of the fishery on krill populations. This will be achieved through the use of empirical approaches and simulation models exploring
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
for Functional Marine Biodiversity (HIFMB). You will combine state-of-the-art OMICS approaches, cell biology, and advanced imaging to dissect the cellular signaling and regulatory networks that control
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engineering practices (version control, reproducibility). • Proven experience in data analysis / method development for experimental signals (e.g., spectroscopy, ultrasound, optoacoustics, biomedical sensing
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(HSC) homeostasis and long-term immunity. In this role, you will move beyond traditional models by integrating inflammatory challenges with a sophisticated experimental pipeline that spans self-generated