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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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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3D organoids, primary cell purification, and culture skills are particularly welcome. Requirements: A PhD or MD/PhD
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) and arthritis pain (e.g. psoriatic arthritis pain), with a focus on ion channels and neural circuits. Candidate must have completed the requirements for the PhD degree or equivalent in Neuroscience
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on applying cutting-edge neuroscience techniques toward studying the nervous system of the heart. Qualifications: Education 5 years or less from a PhD or MD/PhD Degree with a background in cardiac biology
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of three references to michel.bagnat@duke.edu as well as apply to the position online. The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may
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; the candidate may present evidence of completion of the degree requirements, together with a statement documenting the date on which the degree is to be conferred. The candidate will have a minimum of a PhD
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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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with lab staffs and participate in weekly project meetings · Present findings at local and national and international scientific meetings · Supervise and mentor graduate students (MS, PhD, and medical
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departments and contribute to interdisciplinary research initiatives. Preferred Qualifications: • PhD in Neuroscience, Biophysics, Pharmacology, or a related field. • Solid background in mouse modeling