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Field
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. This position is part of a strategic research collaboration between DTU and the Korea Advanced Institute of Science and Technology (KAIST), combining expertise in biomedical signal processing, neuroengineering
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experiments as well as bioinformatics and advanced imaging techniques. Your core tasks are: Cloning and expressing recombinant proteins. Developing and optimizing purification protocols. Designing and
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark
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master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific
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disease progression. Exploring cell-to-cell and organoid-to-organoid interactions using microfluidic platforms to better understand neurodegenerative processes. Implementing cutting-edge assays
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motivated, you have a collaborative and persevering mindset and a keen interest in memory research. a master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological
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set a course for the future – a future that you can help to shape. The VIB-UAntwerp Center for Molecular Neurology in the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences is looking for a
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Neurology in the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences is looking for a full-time (100%) PhD with a project focused on gut–brain immune interactions in food allergy. Position
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin