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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify
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the pathogenesis and chemoresistance of AML. To follow this question a broad number of in-vitro- and in-vivo-models are investigated. The final aim of our studies is to translate the experimental findings into novel
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 1 day ago
. Demonstrated interest in animal research, particularly rodent models (experience with mouse handling or physiology is an advantage). Experience with MRI data processing, image reconstruction, pipeline
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areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types of Antarctic habitats as well as their cumulative impact on seasonal soundscapes
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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analysis of sequence and genome data (bioinformatics). Experience working with non-model organisms (animals), ideally marine invertebrates. Oral and written communication skills in English. Desirable skills
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 20 days ago
methodological skills (quantitative and/or qualitative) Excellent command of written and spoken English Ability to work independently as well as collaboratively in an international and interdisciplinary research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
model on observations and physical models to represent cloud processes across scales from individual turbulent eddies to cloud systems spanning hundreds of kilometers. We will use this fully data-driven
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
learning model on observations and physical models to represent cloud processes across scales from individual turbulent eddies to cloud systems spanning hundreds of kilometers. We will use this fully data
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high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from academic or industrial fabrication. Key activities can include: Demonstration and experimental