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kinetic mechanisms and key elementary reactions involved. Addressing this shortcoming is the goal of this project. Please visit the DFG research unit description for more information on the topic https
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software development and open-science workflows (e.g., Python, Git) Publication record demonstrating independent research ability Fluency in English (written and oral) Additional desirable qualifications
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: Programming skills (e.g., Python). Experience with digital materials science, data organization, and storage. We Offer: A 3-year E13 TV-L 100% contract starting 2025 or 2026, depending on availability. A
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events and pollution Explore climate change mitigation scenarios PROJECTS ACTUATE: https://earthenvironment.helmholtz.de/changing-earth/innopool-projects/ MESSy : www.messy-interface.org Your Profile
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, reproducible data handling and analysis workflows in R and/or Python; author reusable packages and pipelines Collaborate across DKFZ programs; co-supervise students; contribute to grant applications Publish in
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learning approaches for high-dimensional data, and programming skills in R or Python. Profile Track 2 – Experimental Immunology / Bone Marrow Biology / Trained Immunity Candidates with an experimental
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Neurosciences, Life sciences or related fields Experience in behavioural and molecular techniques Programming experience (Matlab and/or Python) interest in interspecies / interdisciplinary studies Please send
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on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is advantageous but not required Lab experience is a plus
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | about 2 months ago
or similar GCMs Strong background in large-scale atmospheric dynamics and climate variability Advanced programming skills in Python, R, Fortran, or comparable languages Experience with data analysis
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about the division can be found at https://uol.de/en/ai4health The position is part of the DFG-funded cluster of excellence "Hearing4All.connects". Among its research goals is uncovering