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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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lining of blood vessels— which plays a central role in the development of vascular diseases. Blood vessels further complicate this picture through their complex geometries, featuring diameter variations
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Course location Bonn Description/content Anthropology, Biomechanics, Clinical Studies, Epidemiology, Genetics, Health Services Research, Imaging, Statistics For further information, please visit our
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molecular cell identification and single-/two-photon imaging techniques. You will work at the Leibniz Institute for Neurobiology (LIN) with Prof. Stefan Remy and in close cooperation with Dr. Janelle Pakan
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available, including high-parameter flow cytometry, confocal imaging, histopathology, metabolomics, single-cell sequencing, and bioinformatics support. Terms & Conditions: €25,000 annual stipend plus academic
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responsibly. Commitment to full-time, on-campus work at NUS Business School. Preferred Qualifications Prior research experience in accounting or finance projects. Familiar with text or image data processing
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yields. Design robust uncertainty and OOD metrics for time-series satellite images and their foundation model embeddings to safely flag anomalies. Disseminate your research results by writing high-quality
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using CRISPR. This will allow for live imaging and pull-downs to enable interactome studies under normal and stressed conditions. Manipulate pathways implicated from the above studies for therapeutic
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• Integration of physiological and biochemical data with advanced phenotyping approaches (e.g. ther-mal imaging) • Statistical analysis and interpretation of multi-factorial datasets • Active collaboration with