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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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mathematics or a related field strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong
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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 22 hours ago
] Subject Areas: Mathematics in the sciences: Applied Analysis; Geometry, Groups, and Dynamics; Nonlinear Algebra; Pattern Formation, Energy Landscapes, and Scaling Laws Appl Deadline: 2025/12/01 11:59PM
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mathematics or a related field strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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: Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific
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. RESPONSIBILITIES: Collaboration on research projects on translational research topics such as pseudoxanthoma elasticum (PXE) and age-related macular degeneration (AMD) Conducting in vivo studies, data analysis, and
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science’ and biological electron microscopy approaches. PostDoc position (F/M/D): 4D-STEM analysis of hybrid materials JOB DESCRIPTION The INM Research Department Innovative Electron Microscopy is currently
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Institute of Botany and Landscape Ecology in the Faculty of Mathematics and Natural Sciences, there is a job vacancy in Prof. Dr. Juergen Kreyling’s “Experimental Plant Ecology” working group in