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auditory brain regions. The work is collaborative with Prof. Surya Tokdar (Statistics, Duke University). Our groups recently found evidence that when confronted with two stimuli, neural populations contain
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> Prepare mouse tissue · Analyze samples using quantitative biochemical assays Data analysis (15%) · Collect laboratory results · Analyze data using standard statistical methods < p
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laboratory) work. In addition to a copy of their resume, applicants are encouraged to submit a cover letter detailing their interests and relevant experience(s). Requirements: · MD, MBBS, PhD, DSc, MD/PhD, MD
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for image analysis Develop statistical models to develop diagnostic criteria and validation of algorithms for analysis of medical data Maintenance of a laboratory notebook and/or other comparable records
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; preparation of images, figures and spreadsheets for data analysis with proper statistical analyses. 3. Communication of research in weekly written reports and lab meeting presentations. 4. Manuscript writing
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(PI: R. Alison Adcock). This project aims to uncover the neural mechanisms of motivation and its regulation using fMRI neurofeedback and advanced statistical modeling. Start dates as soon as available
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treatment grant (PI: Andrada D. Neacsiu, PhD). This is a 2-year appointment, with the second-year contingent on renewal and with the possibility of extension to a third year. This postdoctoral fellow will be
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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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Bayesian modeling and machine learning using large longitudinal biomedical data, including electronic health records and mobile health data. The position will be funded by Samuel I. Berchuck, PhD who holds
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will serve under the guidance of DPHS and DCRI faculty members and other senior scientists and will have the opportunity to lead and participate in a wide range of studies. Qualifications: PhD