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Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a focus on
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
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to advancing understanding of brain circuitry. The laboratory currently has multiple collaborative R01 funded grants from NIMH and NIDA with Drs. Hearing, John Mantsch (Medical College of Wisconsin), and Robert
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 2 months ago
applications. Active research by the UA ECE faculty includes robotics, intelligent sensors, computer vision, machine learning and deep learning, wearable sensors, security and privacy in computing systems
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. Increase LIST's visibility in the AI field through publications, presentations and participation in relevant forums and conferences. Deep scientific and technical expertise, demonstrated by publications and
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School of Medicine. Research at the Center focuses on identifying biomarkers and subtypes of autism to advance precision medicine approaches. Studies involve clinical testing and deep phenotyping, eye
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excellent knowledge of educational technology/learning sciences, XR technologies, and AI, as well as deep knowledge of advanced data analysis methods. The researcher will contribute to multiple cutting-edge
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supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell