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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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Open Position: (Postdoctoral) Researcher (m/f/d) Model Building for SPM Images of Macro(bio)molecules Job Code: 03.25 Your project: Build and test a GPU‑accelerated program to detect and interpret
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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career in Astronautics and Space Engineering, and aims at becoming a leader in the field. About us and the position At the Chair of Astrodynamics, we advance spaceflight science and engineering through
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Job Id: 10694 Fixed term of 22 months | Full-time with 38,5 h | Salary Grade TV-L E13 | European Institute for Molecular Imaging We are UKM. We have a clear social mission and, with our focus
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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project led by the MDC/Helmholtz Imaging, GEOMAR, Hereon and FZJ, fully committed to Open Science. We are looking for a PhD student or Postdoc or Research Software Engineer to join our highly vibrant and
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
a Postdoctoral Position in Advanced MRI Analysis Methods. Our vision is to develop and apply microstructure imaging and in-vivo histology using MRI (Weiskopf et al., Nature Rev. Phys. 2022 ). We