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field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision of students Your
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, VA Workplace Type: Hybrid Eligible Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the Department: Mason’s Department of Bioengineering, https
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important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally
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artificial neural networks and fuzzy systems for KPI aggregation; Knowledge in data engineering, Python, and real-time data analysis. Generic Scientific Area: Electrical Engineering or Computer Engineering
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, medical image processing and applications of convolutional and graph neural networks, digital twins,… in the fields of rare diseases, cancer and inflammation . Institutional and societal engagement Based
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seeking to regulate lender institutions. The main foundation of this system will be non-linear survival models with estimation using neural networks and XGBoost models. These are the most popular machine
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trustworthy AI architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision
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Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a
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that could form the generative neural networks of tomorrow. The GREYC laboratory (Research Group in Computer Science, Image, Automation and Instrumentation of Caen) is a joint research unit associated with
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. This PhD will focus on uncertainty-aware machine learning models, developing and evaluating techniques (e.g., Bayesian and interval neural networks) to quantify model uncertainty and monitor it during