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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track
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with a doctorate In-depth knowledge and experience in computer tomography and experimental imaging techniques, demonstrated by publications, scientific documentation, and active participation in
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing
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, scATAC-seq), spatial transcriptomics and high-throughput imaging, thus a keen interest in learning single cell/spatial data analysis is critical. Your profile: You hold a PhD in Biology, (Bio)medical
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
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The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some 1,000 employees
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated