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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
stages of the research process, including: designing and implementing experimental studies performing in vivo experiments using mouse models analysing and interpreting complex datasets presenting research
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trees to test combined water and carbon limitations of growth Applying innovative techniques such as stem chilling and controlled drought to manipulate and track growth processes, while using a canopy
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
context Data processing, analysis, interpretation, and visualization of experimental results in collaboration with computational partners Your profile Completed diploma or master’s degree in molecular
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link these to mesoscale activity representations collaborate on project-related scientific software development and data management processes for reproducible science contribute to the HDS-LEE graduate
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and related Earth system sciences. The overall research and teaching focuses on: Improved understanding of biogeochemical processes with an emphasis on terrestrial ecosystems Development
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from October 2026. A later start date can be arranged if needed. Our process We believe in a transparent hiring process. Shortlisted candidates will first be invited to a brief introductory conversation
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning
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the viewpoint of the social and philosophical studies of science. About the FairCFD project Over the past seven decades, Computational Fluid Dynamics (CFD) has enabled increasingly efficient industrial processes
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS