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in medical image processing, in particular MRI - Knowledge of MR spectroscopy (or a strong desire to learn it quickly). - Expertise of artificial intelligence techniques and deep learning - Proficiency
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, neuroscience, brain imaging), the NGI (exceptional expertise on genetics and multi-omics data generation & processing), and the highly collaborative atmosphere at WashU. The candidate is expected to lead
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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thymus and to chart the role of the thymic microenvironment in this process. This will be achieved through the use of state-of-the-art technologies, such as multimodal single cell approaches (CITE-seq
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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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professional domains and a desire to ask big-picture questions. Preferred Qualifications: Familiarity with natural language processing (NLP) or network science. Experience with machine learning libraries like
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-throughput Application and further development of X-ray methods (scattering, spectroscopy, imaging) using both in-house infrastructure and synchrotron beamlines Execution of operando studies to unravel
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete