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Field
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning
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Light Source II (NSLS-II). NSLS-II is a user facility dedicated to helping researchers from the U.S. and abroad bring cutting-edge synchrotron technology and automation to bear on society’s most pressing
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vulnerabilities and system-level risks. 3) Advanced security emulation and testing Leveraging novel emulation and automated testing capabilities, including spacecraft digital twins, automated penetration testing
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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lines, the development of quantitative cell culture assays, and the introduction of TC automation for the groups at the institute. We are searching for a postdoctoral fellow with extensive experience in
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not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a team. Excellent communication skills in
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to develop automated segmentation tools and diagnostic aids for otologic conditions. Working with ENT surgeons, audiologists, and AI researchers, you'll have access to datasets including audiograms and
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, and characterization of samples using laser spectroscopy methods. It will require development of experimental systems from scratch, automation of measurements, the implementation of data acquisition
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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention