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in combination with data from automatic milk feeders. Integrating all these data into artificial intelligence (AI) models will enable faster and more accurate detection of early signs of respiratory
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. Objectives: -Fabrication, characterization and modeling of the composite magnetic materials. -Modeling, fabrication, characterization and of the embedded power magnetic core inductors. -Implementation
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). Lesion and anomaly detection in biomedical/industrial imaging. Development of robust models transferable to real-world environments. Use and development of 3D reconstruction techniques. Candidate Profile
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, which will be used to implement high frequency and high efficiency IVRs for HPC applications. Objectives:-Fabrication, characterization and modeling of the composite magnetic materials.-Modeling
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on these materials, which will be used to implement high frequency and high efficiency IVRs for HPC applications. Objectives:-Fabrication, characterization and modeling of the composite magnetic materials.-Modeling
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observing, data reduction and analysis, instrumentation and software development, modelling and simulations) involving instrumentation for or astronomical datasets from radio telescopes. Demonstrated radio
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summary and responsibilities Define the role of primary cilia in glial cells in development and disease, using both mouse models and human cells. Analyze data from molecular, genetic, imaging, and
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) Understanding the Language of Genes: AI Approaches to Modeling and Interpreting Transcriptomic Profiles View All Stories Further Information For further information, please visit the CGS D Program page . FAQs
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model systems to assess the in vitro efficacy of Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) modulator therapies in cystic fibrosis Lisa Ritland Doctor of Philosophy in Population and
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Experimental Medicine (PhD) Characterization of a novel bifunctional PARP-HDAC inhibitor in a 3-D printed human-mimetic bone model View All Stories Further Information For further information, please visit