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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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, 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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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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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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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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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
researchers with different backgrounds to collaborate and develop their skills to bridge molecular, cellular and organismal levels. Relevant work experience comprises planning and performing preclinical fMRI
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month 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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pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep