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. Apply deep learning approaches to support optimization of segmentation methods for clinical neuroimaging datasets. Investigate developmental differences in infant brain functional networks. Support
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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research and learning. About SBU: Stony Brook University (https://www.stonybrook.edu/ ) is a flagship of the State University of New York (SUNY) system. It ranks among the top 25 public universities in
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analysis packages, basic shell scripting, experience in Unix/Linux platform) and experiences with deep learning tools (e.g., PyTorch, TensorFLow, Keras), neuroimaging analysis tools (e.g., PMOD, SPM, FSL
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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combines biomechanics, medical imaging, statistical shape modelling, deep learning and virtual crash simulation to create more realistic and equitable safety assessment tools for tomorrow’s transport systems
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of Engineering at The University of Texas at Arlington invites applications for a Postdoctoral Research Associate position in the area of biomedical engineering (imaging, bioinstrumentation or nanotechnology
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Pediatric Bioengineering(HSJD) Specific focus / expertise: Artificial intelligence and data science applied to bioengineering, including (but not limited to): – Machine learning and deep learning for complex
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning