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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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mesoscopic scale with a focus on X-ray and neutron diffraction as well as PDF analysis, supported by complementary experimental techniques or theoretical simulations Hands-on participation in experiments
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) for the project Theory and algorithms for structure determination from single molecule x-ray scattering images. Project
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Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
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-atmosphere version of the general circulation model ICON, i.e. UA-ICON, a state-of-the-art high-resolution model of the neutral atmosphere with a model top at 250 km height. UA-ICON includes a deep- atmosphere
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Postdoctoral Researcher (gn*) Life Science Reference Number: 10899 Fixed term of 3 years | Full time with 38,5 h | Salary Grade TV-L E13 | European Institute for Molecular Imaging We are UKM. We
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. Conduct electrochemical characterization, including cyclic voltammetry, galvanostatic charge/discharge, and electrochemical impedance spectroscopy. Perform material characterization (X-ray diffraction
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disease variants, to gain insights into how cells adapt and work together to safeguard organ formation. Using advanced live-imaging techniques, the research team closely interrogates how developing tissues
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration between WIAS (Research Group “Numerical Mathematics and Scientific