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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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) to conceptualize and quantify the controls of anvil extent and cloud feedback of tropical deep convection across scales. As a successful candidate, you will combine your expertise in deep convective processes with
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, including but not limited to cancer, metabolic disorders, and infections. The research design involves the integration of large-scale biological datasets derived from both the host and the microbiome
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stimulating, high-profile research project A fully funded multi-year postdoc position (remuneration according to TV-L salary scale 13) Training in wet-lab & computational work; intensive mentoring within
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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. The EIMI is located in the Multiscale Imaging Center (MIC), which hosts research groups from our university combining a broad range of state-of-the-art imaging technologies for the investigation
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
of methodologies for operando synchrotron- and lab-based XAS and complementary techniques that provide information about the transformations of the electrocatalyst structure and composition on different time scales
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years (with possible extension). YOUR TASKS Synthesis of lithium-ion batteries with different composition and conductive additives. Build and characterize lithium-ion batteries for industrial application
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence