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(Harward et al., Nature 2016; Hedrick et al., Nature 2016; Krishnamurthy et al., Ann Neurol 2019). We are particularly interested in developing focused ultrasound as a new method for non-invasively
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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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, methods will include video- and machine-learning supported behavioral studies in mice, mouse genetics, fluorescent imaging, electrophysiology, pharmacological studies of irritant and thermosensory receptors
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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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degree in biological or medical sciences or another field using quantitative methods. Experience deriving meaningful hypotheses or insights from large datasets, as evidenced by first-authored publications
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other relevant software is not required but is advantageous. Applicants should also have familiarity with basic statistical methods. • The applicant will be expected to have verbal and written
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bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods
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, biochemistry, and molecular biology. • Familiarity with various analytical methods and electrophysiology is desirable. • Previous research experience in the field of anesthesiology will be an asset. Required