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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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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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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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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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these questions, we use a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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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
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cell lines have been engineered and characterised, you will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models
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research institutes participating to consortium with a unique combination of expertise in solid-state NMR and materials science (UCCS), in MRI of the brain and AI-enhanced image processing (LilNCog), in NMR
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detection limits, providing complementary insights into the diverse scales and processes of atmospheric convection. Position Description: We seek a highly motivated Postdoctoral Researcher to: Analyze