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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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differing spatial resolutions. Using catchment-scale ecological and water quality data, the project aims to assess how abiotic drivers, biotic interactions, and stochastic processes jointly shape species
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different fishing scenarios, including: Effects of environmental change, e.g. in temperature Shifting abundance and distribution of major krill predators (e.g., whales, penguins, seals) Changing fishing
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, scientific curiosity, and commitment to scientific excellence. • Advanced hands-on experience in optics, sensors, lasers, optical fibers. • Programming skills in MATLAB / Python • Team player skills and
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of research achievements and publications in top-ranked journals. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming experience Python with good software
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build
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the contribution of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as
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sharable and fixed-term until 31 January 2029. The BlueMat project ‘Automated correlative image analysis for BlueMaterials‘, bridges the different techniques developed within the cross-area imaging and gives