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alters immune responses against vaccines using next-generation human tissue and organoid models. Current vaccines against infectious diseases and cancer benefit only a subset of patients, partly due to our
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concepts and compositions for high-performance electrolytes for emergent electrochemical device technologies such as redox flow batteries. Next generation energy storage and chemical transformation devices
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information for ocean health, sustainable blue economy, and coastal climate risks, downstreaming the data flow from climate ensembles to coastal areas at different spatial resolutions and for selected areas, in
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Understanding the individual and relative motion of particles is fundamental to understanding transport processes in complex flows. Large-scale transport in atmospheric flows is well understood and measured by
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reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust methods to quantify the propagation of domain uncertainties in
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biology, hematopoiesis, and immunobiology Excellent teamwork and communication skills Solid experience with flow cytometry and **fluorescence-activated cell sorting (FACS)** FELASA certification and hands
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-time (38,5 h/week) Postdoctoral fellow (m/f/d) – metabolic and nutritional regulation of immunity The position is available for an initial period of three years due to the doctorate, with the possibility
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with animal models, transcriptomics (long read, single cell), multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research team
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Fischer (peer.fischer@imseam.uni-heidelberg.de ). Please include a motivation letter, curriculum vitae, a list of publications, a list of current research support (if applicable), a summary of teaching
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purpose of this position is to conduct research in the field of model reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust